explorers: coronavirus-data-explorer-who

This data as json

slug	isPublished	config	createdAt	updatedAt
coronavirus-data-explorer-who	0	{ "blocks": [ { "args": [], "type": "graphers", "block": [ { "type": "LineChart", "title": "Daily new confirmed COVID-19 deaths per million people", "ySlugs": "new_deaths_smoothed_per_million_gt_0", "subtitle": "7-day rolling average. Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "defaultView": "true", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "7-day rolling average", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Daily new confirmed COVID-19 cases per million people", "ySlugs": "new_cases_smoothed_per_million_gt_0", "subtitle": "7-day rolling average. 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to limited testing, the number of confirmed cases is lower than the true number of infections.", "hasMapTab": "true", "tableSlug": "cases-tests", "yScaleToggle": "true", "Metric Dropdown": "Confirmed cases", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Daily new confirmed COVID-19 cases & deaths per million people", "ySlugs": "new_cases_smoothed_per_million_gt_0 new_deaths_smoothed_per_million_gt_0", "subtitle": "7-day rolling average. Limited testing and challenges in the attribution of cause of death means the cases and deaths counts may not be accurate.", "hasMapTab": "false", "tableSlug": "all-reduced", "facetYDomain": "independent", "yScaleToggle": "true", "Metric Dropdown": "Cases and deaths", "Interval Dropdown": "7-day rolling average", "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Estimate of the effective reproduction rate (R) of COVID-19", "ySlugs": "reproduction_rate", "subtitle": "The reproduction rate represents the average number of new infections caused by a single infected individual. If the rate is greater than 1, the infection is able to spread in the population. If it is below 1, the number of cases occurring in the population will gradually decrease to zero.", "hasMapTab": "true", "tableSlug": "cases-tests", "yScaleToggle": "true", "Metric Dropdown": "Reproduction rate", "Interval Dropdown": "7-day rolling average", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "COVID-19 cases, tests, positive rate, and reproduction rate", "ySlugs": "new_cases_smoothed_per_million_gt_0 new_tests_smoothed_per_thousand positive_rate_percent reproduction_rate", "subtitle": "7-day rolling average. Due to limited testing, the number of confirmed cases is lower than the true number of infections. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": "false", "tableSlug": "all-reduced", "facetYDomain": "independent", "yScaleToggle": "true", "Metric Dropdown": "Cases, tests, positive and reproduction rate", "Interval Dropdown": "7-day rolling average", "relatedQuestionUrl": "https://ourworldindata.org/covid-testing-data-archived", "relatedQuestionText": "Data on tests is no longer updated since June 2022", "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "note": "This share may not reflect the complete breakdown of cases, since only a fraction of all cases are sequenced. Recently-discovered or actively-monitored variants may be overrepresented, as suspected cases of these variants are likely to be sequenced preferentially or faster than other cases.", "type": "StackedDiscreteBar", "title": "SARS-CoV-2 sequences by variant", "sortBy": "column", "ySlugs": "Alpha Beta Gamma Delta Omicron_BA_2 Omicron_BA_1 Omicron_BA_5 Omicron_BA_4 Omicron_BA_2_12_1 Omicron_BA_2_75 Omicron_BQ_1 Omicron_XBB Omicron_XBB_1_5 Recombinant non_who", "subtitle": "The share of analyzed sequences in the preceding two weeks that correspond to each variant group.", "hasMapTab": "false", "tableSlug": "variants", "yScaleToggle": "false", "sortColumnSlug": "Omicron", "Metric Dropdown": "Variants", "Interval Dropdown": "Biweekly", "hideTotalValueLabel": "true", "hideAnnotationFieldsInTitle": "false", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "note": "This share may not reflect the complete breakdown of cases, since only a fraction of all cases are sequenced. Recently-discovered or actively-monitored variants may be overrepresented, as suspected cases of these variants are likely to be sequenced preferentially or faster than other cases.", "type": "LineChart", "title": "Share of SARS-CoV-2 sequences that are the omicron variant", "ySlugs": "Omicron", "subtitle": "Share of omicron variant in all analyzed sequences in the preceding two weeks.", "hasMapTab": "true", "tableSlug": "variants", "yScaleToggle": "false", "Metric Dropdown": "Omicron variant (share)", "timelineMinTime": "600", "Interval Dropdown": "Biweekly", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "note": "This share may not reflect the complete breakdown of cases, since only a fraction of all cases are sequenced. Recently-discovered or actively-monitored variants may be overrepresented, as suspected cases of these variants are likely to be sequenced preferentially or faster than other cases.", "type": "LineChart", "title": "Share of SARS-CoV-2 sequences that are the delta variant", "ySlugs": "Delta", "subtitle": "Share of delta variant in all analyzed sequences in the last two weeks.", "hasMapTab": "true", "tableSlug": "variants", "yScaleToggle": "false", "Metric Dropdown": "Delta variant (share)", "Interval Dropdown": "Biweekly", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Share of confirmed COVID-19 cases sequenced", "ySlugs": "share_cases_sequenced", "subtitle": "Share of confirmed cases for which the genome of the virus has been sequenced to determine which mutations it has.", "hasMapTab": "true", "tableSlug": "cases-tests", "yScaleToggle": "false", "Metric Dropdown": "Cases sequenced", "Interval Dropdown": "Biweekly", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Cumulative confirmed COVID-19 deaths per million people", "ySlugs": "total_deaths_per_million", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Cumulative confirmed COVID-19 deaths", "ySlugs": "total_deaths", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Cumulative confirmed COVID-19 deaths per million people in the last 12 months", "ySlugs": "total_deaths_last12m_per_million", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Cumulative (last 12 months)", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Cumulative confirmed COVID-19 deaths in the last 12 months", "ySlugs": "total_deaths_last12m", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Cumulative (last 12 months)", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Daily new confirmed COVID-19 deaths", "ySlugs": "new_deaths_smoothed_gt_0", "subtitle": "7-day rolling average. Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "7-day rolling average", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Daily new confirmed COVID-19 deaths per million people", "ySlugs": "new_deaths_per_million", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "New per day", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Daily new confirmed COVID-19 deaths", "ySlugs": "new_deaths", "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "New per day", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Weekly confirmed COVID-19 deaths", "ySlugs": "weekly_deaths", "subtitle": "Weekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. 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Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Biweekly", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Biweekly confirmed COVID-19 deaths per million people", "ySlugs": "biweekly_deaths_per_million", "subtitle": "Biweekly confirmed deaths refer to the cumulative number of confirmed deaths over the previous week. Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Biweekly", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Biweekly change of confirmed COVID-19 deaths", "ySlugs": "biweekly_deaths_change", "subtitle": "The biweekly growth rate on any given date measures the percentage change in the number of new confirmed deaths over the last 14 days relative to the number in the previous 14 days. Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.", "hasMapTab": "true", "tableSlug": "deaths", "yScaleToggle": "true", "Metric Dropdown": "Confirmed deaths", "Interval Dropdown": "Biweekly change", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false", "Color by test positivity Checkbox": "false" }, { "type": "LineChart", "title": "Case fatality rate of COVID-19", "ySlugs": "cfr", "subtitle": "The case fatality rate (CFR) is the ratio between confirmed deaths and confirmed cases. The CFR can be a poor measure of the mortality risk of the disease. 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PLoS ONE 16(1): e0244474. https://doi.org/10.1371/journal.pone.0244474", "colorScaleNumericBins": "0.5,#4575b4,;0.75,#91bfdb,;1,#e0f3f8,;1.25,#fee090,;1.5,#fc8d59,;2,#d73027,", "colorScaleEqualSizeBins": "true" }, { "name": "Share of cases sequenced", "slug": "share_cases_sequenced", "type": "Percentage", "tolerance": "15", "sourceLink": "https://covariants.org/, https://github.com/CSSEGISandData/COVID-19", "sourceName": "CoVariants.org and GISAID, Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "colorScaleScheme": "Greens", "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10;20;50;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Stringency Index", "slug": "stringency_index", "type": "Numeric", "tolerance": "30", "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker", "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability", "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). 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Geneva: World Health Organization, 2020. 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We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "Greens", "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1;1.1", "colorScaleEqualSizeBins": "true" }, { "name": "New vaccinations", "slug": "new_vaccinations_smoothed", "type": "Numeric", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "1000;3000;10000;30000;100000;300000;1000000;3000000;10000000;30000000", "colorScaleEqualSizeBins": "true" }, { "name": "New vaccinations (per 100)", "slug": "new_vaccinations_smoothed_per_hundred", "type": "Ratio", "tolerance": "10", "transform": "multiplyBy new_vaccinations_smoothed_per_million 0.0001", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "Greens", "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5;0.6;0.7;0.8;0.9;1;1.1", "colorScaleEqualSizeBins": "true" }, { "name": "New people vaccinated", "slug": "new_people_vaccinated_smoothed", "type": "Numeric", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "colorScaleNumericBins": "10000;30000;100000;300000;1000000;3000000;10000000", "colorScaleEqualSizeBins": "true" }, { "name": "New people vaccinated (per 100)", "slug": "new_people_vaccinated_smoothed_per_hundred", "type": "DecimalPercentage", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "colorScaleNumericBins": "0.1;0.2;0.3;0.4;0.5;0.6", "colorScaleEqualSizeBins": "true" }, { "name": "People with at least one dose of COVID-19 vaccine", "slug": "people_vaccinated", "type": "Integer", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000", "colorScaleEqualSizeBins": "true" }, { "name": "People with a complete initial protocol", "slug": "people_fully_vaccinated", "type": "Integer", "color": "#034F34", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "300000;1000000;3000000;10000000;30000000;100000000;300000000;1000000000;3000000000", "colorScaleEqualSizeBins": "true" }, { "name": "People only partly vaccinated against COVID-19", "slug": "people_partly_vaccinated", "type": "Integer", "color": "#0B9B6F", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "Share of people with at least one dose of COVID-19 vaccine", "slug": "people_vaccinated_per_hundred", "type": "DecimalPercentage", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true" }, { "name": "Share of people with a complete initial protocol", "slug": "people_fully_vaccinated_per_hundred", "type": "DecimalPercentage", "color": "#034F34", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true" }, { "name": "Share of people only partly vaccinated against COVID-19", "slug": "people_partly_vaccinated_per_hundred", "type": "DecimalPercentage", "color": "#0B9B6F", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "Total boosters", "slug": "total_boosters", "type": "Integer", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "100;1000;10000;100000;1000000;10000000;100000000", "colorScaleEqualSizeBins": "true" }, { "name": "Total boosters (per 100)", "slug": "total_boosters_per_hundred", "type": "Ratio", "tolerance": "90", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (6 months)", "slug": "rolling_vaccinations_6m", "type": "Integer", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "100000;1000000;10000000;100000000;1000000000;10000000000", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (9 months)", "slug": "rolling_vaccinations_9m", "type": "Integer", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "100000;1000000;10000000;100000000;1000000000;10000000000", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (12 months)", "slug": "rolling_vaccinations_12m", "type": "Integer", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "100000;1000000;10000000;100000000;1000000000;10000000000", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (6 months) per 100", "slug": "rolling_vaccinations_6m_per_hundred", "type": "Ratio", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "20;40;60;80;100;120;140;160;180;200;220;240;260", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (9 months) per 100", "slug": "rolling_vaccinations_9m_per_hundred", "type": "Ratio", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "20;40;60;80;100;120;140;160;180;200;220;240;260", "colorScaleEqualSizeBins": "true" }, { "name": "Rolling vaccinations (12 months) per 100", "slug": "rolling_vaccinations_12m_per_hundred", "type": "Ratio", "tolerance": "10", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "colorScaleNumericBins": "20;40;60;80;100;120;140;160;180;200;220;240;260", "colorScaleEqualSizeBins": "true" }, { "name": "Population", "slug": "population", "type": "Population" }, { "slug": "annotations" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--hospital-admissions.json", "hospital-admissions" ], "type": "table", "block": null }, { "args": [ "hospital-admissions" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Number of COVID-19 patients in intensive care (ICU)", "slug": "icu_patients", "type": "Integer", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "1;3;10;30;100;300;1000;3000;10000;30000", "colorScaleEqualSizeBins": "true" }, { "name": "Number of COVID-19 patients in intensive care (ICU) per million", "slug": "icu_patients_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100;110;120;130", "colorScaleEqualSizeBins": "true" }, { "name": "Number of COVID-19 patients in hospital", "slug": "hosp_patients", "type": "Integer", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "1;10;100;1000;10000;100000;1000000", "colorScaleEqualSizeBins": "true" }, { "name": "Number of COVID-19 patients in hospital per million", "slug": "hosp_patients_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "100;200;300;400;500;600;700;800;900;1000", "colorScaleEqualSizeBins": "true" }, { "name": "Weekly new ICU admissions for COVID-19", "slug": "weekly_icu_admissions", "type": "Integer", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "1;3;10;30;100;300;1000;3000;10000", "colorScaleEqualSizeBins": "true" }, { "name": "Weekly new ICU admissions for COVID-19 per million", "slug": "weekly_icu_admissions_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100;110;120;130;140", "colorScaleEqualSizeBins": "true" }, { "name": "Weekly new hospital admissions for COVID-19", "slug": "weekly_hosp_admissions", "type": "Integer", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "1;10;100;1000;10000;100000;1000000", "colorScaleEqualSizeBins": "true" }, { "name": "Weekly new hospital admissions for COVID-19 per million", "slug": "weekly_hosp_admissions_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "50;100;150;200;250;300;350;400;450;500;550;600;650;700", "colorScaleEqualSizeBins": "true" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--auxiliary.json", "auxiliary" ], "type": "table", "block": null }, { "args": [ "auxiliary" ], "type": "columns", "block": [ { "name": "Code", "slug": "iso_code", "type": "EntityCode" }, { "slug": "continent", "type": "Continent", "colorScaleScheme": "continents", "colorScaleCategoricalBins": "Africa,#923E8B,;Antarctica,#5887A1,;Asia,#2D8587,;Europe,#4C5C78,;North America,#E04E4B,;Oceania,#A8633C,;South America,#932834," }, { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Population density", "slug": "population_density", "type": "PopulationDensity" }, { "slug": "cardiovasc_death_rate", "type": "Ratio" }, { "slug": "diabetes_prevalence", "type": "Percentage" }, { "slug": "female_smokers", "type": "Percentage" }, { "slug": "male_smokers", "type": "Percentage" }, { "slug": "handwashing_facilities", "type": "Percentage" }, { "name": "Median age", "slug": "median_age", "type": "Age" }, { "name": "Share aged 65+", "slug": "aged_65_older", "type": "Percentage" }, { "name": "Share aged 70+", "slug": "aged_70_older", "type": "Percentage" }, { "name": "GDP per capita", "slug": "gdp_per_capita", "type": "Currency" }, { "name": "Extreme poverty", "slug": "extreme_poverty", "type": "Percentage" }, { "name": "Human Development Index", "slug": "human_development_index", "type": "Numeric" }, { "name": "Hospital beds (per 1K)", "slug": "hospital_beds_per_thousand", "type": "Ratio" }, { "name": "Life expectancy", "slug": "life_expectancy", "type": "Age" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--excess-mortality.json", "excess-mortality" ], "type": "table", "block": null }, { "args": [ "excess-mortality" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality", "type": "Percentage", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "-25,#74add1,;-10,#abd9e9,;0,#e0f3f8,;10,#ffffbf,;25,#fee090,;50,#fdae61,;100,#f46d43,;200,#d73027,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-50" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_cumulative", "type": "Percentage", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "-25,#74add1,;-10,#abd9e9,;0,#e0f3f8,;10,#ffffbf,;25,#fee090,;50,#fdae61,;100,#f46d43,;200,#d73027,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-50" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_cumulative_absolute", "type": "Integer", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0,#9ECAE1;100000,#ffffcc;200000,#ffeda0;300000,#fed976;400000,#feb24c;500000,#fd8d3c;600000,#fc4e2a;700000,#e31a1c;800000,#bd0026;900000,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_cumulative_per_million", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0,#9ECAE1;1000,#ffffcc;2000,#ffeda0;3000,#fed976;4000,#feb24c;5000,#fd8d3c;6000,#fc4e2a;7000,#e31a1c;8000,#bd0026;9000,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_count_week", "type": "Integer", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "-500,#74ADD1;0,#ABD9E9;50,#FFFFBF;150,#FEE090;500,#FEB24C;2500,#FD8D3C;50000,#FC4E2B;150000,#E21A1B", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1000" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_count_week_pm", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "-50,#74ADD1;-25,#ABD9E9;0,#E0F3F8;25,#FFFFBF;50,#FEE090;100,#FEB24C;250,#FD8D3C;500,#FC4E2B;1000,#E21A1B", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-100" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_cumulative_absolute_last12m", "type": "Integer", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0,#9ECAE1;100000,#ffffcc;200000,#ffeda0;300000,#fed976;400000,#feb24c;500000,#fd8d3c;600000,#fc4e2a;700000,#e31a1c;800000,#bd0026;900000,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Deaths from all causes compared to projection based on previous years", "slug": "excess_mortality_cumulative_absolute_last12m_per_million", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0,#9ECAE1;1000,#ffffcc;2000,#ffeda0;3000,#fed976;4000,#feb24c;5000,#fd8d3c;6000,#fc4e2a;7000,#e31a1c;8000,#bd0026;9000,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Central estimate", "slug": "cumulative_estimated_daily_excess_deaths", "type": "Integer", "color": "#B13507", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_bot", "type": "Integer", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_top", "type": "Integer", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Central estimate", "slug": "cumulative_estimated_daily_excess_deaths_per_100k", "type": "Ratio", "color": "#B13507", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates", "colorScaleNumericBins": "0,#E0F3F8;100,#ffffcc;200,#ffeda0;300,#fed976;400,#feb24c;500,#fd8d3c;600,#fc4e2a;700,#e31a1c;800,#bd0026;900,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_bot_per_100k", "type": "Ratio", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_top_per_100k", "type": "Ratio", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Central estimate", "slug": "cumulative_estimated_daily_excess_deaths_last12m", "type": "Integer", "color": "#B13507", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_bot_last12m", "type": "Integer", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_top_last12m", "type": "Integer", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Central estimate", "slug": "cumulative_estimated_daily_excess_deaths_last12m_per_100k", "type": "Ratio", "color": "#B13507", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates", "colorScaleNumericBins": "0,#E0F3F8;100,#ffffcc;200,#ffeda0;300,#fed976;400,#feb24c;500,#fd8d3c;600,#fc4e2a;700,#e31a1c;800,#bd0026;900,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-1" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_bot_last12m_per_100k", "type": "Ratio", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "cumulative_estimated_daily_excess_deaths_ci_95_top_last12m_per_100k", "type": "Ratio", "color": "#DDB09E", "tolerance": "30", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Central estimate", "slug": "estimated_daily_excess_deaths", "type": "Integer", "color": "#B13507", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "estimated_daily_excess_deaths_ci_95_bot", "type": "Integer", "color": "#DDB09E", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "estimated_daily_excess_deaths_ci_95_top", "type": "Integer", "color": "#DDB09E", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Central estimate", "slug": "estimated_daily_excess_deaths_per_100k", "type": "Ratio", "color": "#B13507", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates", "colorScaleNumericBins": "0,#E0F3F8;0.5,#ffffcc;1,#ffeda0;1.5,#fed976;2,#feb24c;2.5,#fd8d3c;3,#fc4e2a;3.5,#e31a1c;4,#bd0026;4.5,#800026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-0.001" }, { "name": "Lower bound, 95% uncertainty interval", "slug": "estimated_daily_excess_deaths_ci_95_bot_per_100k", "type": "Ratio", "color": "#D7C2BA", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Upper bound", "slug": "estimated_daily_excess_deaths_ci_95_top_per_100k", "type": "Ratio", "color": "#D7C2BA", "tolerance": "1", "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model", "sourceName": "The Economist (2022)", "additionalInfo": "<p>Data from The Economist estimating the number of excess deaths during the COVID-19 pandemic for 223 countries & regions. The Economist publishes new estimates each day. We update our charts with the latest available data each week.</p><p>Excess deaths measure the difference between how many people died during the pandemic, from any cause, and how many deaths would have been expected had there been no pandemic.</p><p>Many countries have not reported any all-cause mortality data during the pandemic; the number of deaths in those countries must be estimated. Other countries have reported data, but it is frequently out of date due to delays in reporting. These delays, as well as incomplete reporting coverage, mean the reported number of deaths might not count all deaths that occurred.</p><p>The Economist's GitHub page, which contains their data and code, is here: https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model</p><p>To read The Economist's article presenting the model estimates, see: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates</p><p>To read about the model methodology, see: https://www.economist.com/graphic-detail/2021/05/13/how-we-estimated-the-true-death-toll-of-the-pandemic</p><p>For the Our World in Data page on excess mortality during COVID-19, with expanded explanations and data from other sources, see: https://ourworldindata.org/excess-mortality-covid</p><p>Our reformatted dataset based on The Economist's data can also be found on GitHub: https://github.com/owid/covid-19-data/blob/master/public/data/excess_mortality/excess_mortality_economist_estimates.csv</p>", "dataPublishedBy": "https://www.economist.com/graphic-detail/coronavirus-excess-deaths-estimates" }, { "name": "Confirmed COVID-19 deaths", "slug": "new_deaths_smoothed_gt_0", "type": "Numeric", "color": "#565656", "tolerance": "14", "transform": "new_deaths_smoothed where new_deaths_smoothed isGreaterThanOrEqual 0", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "OrRd", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1;3;10;30;100;300;1000;3000;10000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Confirmed COVID-19 deaths (per 100,000)", "slug": "new_deaths_smoothed_per_100k_gt_0", "type": "Ratio", "color": "#565656", "tolerance": "14", "transform": "new_deaths_smoothed_per_million multiplyBy 0.1 where new_deaths_smoothed_per_million isGreaterThanOrEqual 0", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "OrRd", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10;20;50;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Confirmed COVID-19 deaths", "slug": "total_deaths", "type": "Integer", "tolerance": "14", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "RdPu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1000;3000;10000;30000;100000;300000;1000000;3000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Confirmed COVID-19 deaths (per 100,000)", "slug": "total_deaths_per_100k", "type": "Ratio", "tolerance": "14", "transform": "total_deaths_per_million multiplyBy 0.1", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "YlOrRd", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1000;2000;3000;4000;5000;6000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Confirmed COVID-19 deaths", "slug": "total_deaths_last12m", "type": "Integer", "tolerance": "14", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "RdPu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "300;1000;3000;10000;30000;100000;300000;1000000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Confirmed COVID-19 deaths (per 100,000)", "slug": "total_deaths_last12m_per_100k", "type": "Ratio", "tolerance": "14", "transform": "total_deaths_last12m_per_million multiplyBy 0.1", "sourceLink": "https://github.com/CSSEGISandData/COVID-19", "sourceName": "Johns Hopkins University CSSE COVID-19 Data", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://github.com/CSSEGISandData/COVID-19\">COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "YlOrRd", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "300;600;900;1200;1500;1800;2100;2400;2700;3000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "slug": "annotations" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--variants.json", "variants" ], "type": "table", "block": null }, { "args": [ "variants" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Delta", "slug": "Delta", "type": "Percentage", "color": "#319FAC", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>.", "colorScaleScheme": "GnBu", "colorScaleNumericBins": "10,,;20,,;30,,;40,,;50,,;60,,;70,,;80,,;90,,;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Alpha", "slug": "Alpha", "type": "Percentage", "color": "#6D3E91", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Beta", "slug": "Beta", "type": "Percentage", "color": "#C05917", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Eta", "slug": "Eta", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Epsilon", "slug": "Epsilon", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Iota", "slug": "Iota", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Gamma", "slug": "Gamma", "type": "Percentage", "color": "58AC8C", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Kappa", "slug": "Kappa", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Lambda", "slug": "Lambda", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Mu", "slug": "Mu", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron", "slug": "Omicron", "type": "Percentage", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>.", "colorScaleScheme": "Reds", "colorScaleNumericBins": "10,,;20,,;30,,;40,,;50,,;60,,;70,,;80,,;90,,;100" }, { "name": "Omicron (BA.1)", "slug": "Omicron_BA_1", "type": "Percentage", "color": "#BC8E5A", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BA.2)", "slug": "Omicron_BA_2", "type": "Percentage", "color": "#883039", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BA.4)", "slug": "Omicron_BA_4", "type": "Percentage", "color": "#C15065", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BA.5)", "slug": "Omicron_BA_5", "type": "Percentage", "color": "#00295B", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BA.2.12.1)", "slug": "Omicron_BA_2_12_1", "type": "Percentage", "color": "#18470F", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BA.2.75)", "slug": "Omicron_BA_2_75", "type": "Percentage", "color": "#9A5129", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (BQ.1)", "slug": "Omicron_BQ_1", "type": "Percentage", "color": "#E56E5A", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (XBB)", "slug": "Omicron_XBB", "type": "Percentage", "color": "#A2559C", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Omicron (XBB.1.5)", "slug": "Omicron_XBB_1_5", "type": "Percentage", "color": "#00847E", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Recombinant", "slug": "Recombinant", "type": "Percentage", "color": "#3B8E1D", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." }, { "name": "Others", "slug": "non_who", "type": "Percentage", "color": "#D73C50", "tolerance": "15", "sourceLink": "https://www.gisaid.org/", "sourceName": "GISAID, via CoVariants.org", "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255 PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018 PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>." } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--vaccinations-bydose.json", "vaccinations-bydose" ], "type": "table", "block": null }, { "args": [ "vaccinations-bydose" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "People only partly vaccinated", "slug": "people_partly_vaccinated", "type": "Integer", "color": "#0B9B6F", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "Share of people only partly vaccinated", "slug": "people_partly_vaccinated_per_hundred", "type": "DecimalPercentage", "color": "#0B9B6F", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "People with a complete initial protocol", "slug": "people_fully_vaccinated", "type": "Integer", "color": "#034F34", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1000,,;10000,,;100000,,;1000000,,;10000000,,;100000000,,;1000000000,,", "colorScaleEqualSizeBins": "true" }, { "name": "Share of people with a complete initial protocol", "slug": "people_fully_vaccinated_per_hundred", "type": "DecimalPercentage", "color": "#034F34", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "PuBuGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1,,;5,,;10,,;20,,;30,,;40,,;50,,;60,,;70,,;80,,;90,,;100,,", "colorScaleEqualSizeBins": "true" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--vaccinations-boosters.json", "vaccinations-boosters" ], "type": "table", "block": null }, { "args": [ "vaccinations-boosters" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Initial protocol doses", "slug": "total_vaccinations_no_boosters", "type": "Integer", "color": "#6a51a3", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "Initial protocol doses", "slug": "total_vaccinations_no_boosters_per_hundred", "type": "Ratio", "color": "#6a51a3", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "annotationsColumnSlug": "annotations" }, { "name": "Booster doses", "slug": "total_boosters", "type": "Integer", "color": "#cbc9e2", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGnBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1000,,;10000,,;100000,,;1000000,,;10000000,,;100000000,,;1000000000,,", "colorScaleEqualSizeBins": "true" }, { "name": "Booster doses", "slug": "total_boosters_per_hundred", "type": "Ratio", "color": "#cbc9e2", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "PuBuGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "1,,;5,,;10,,;20,,;30,,;40,,;50,,;60,,;70,,;80,,;90,,;100,,", "colorScaleEqualSizeBins": "true" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal_new/megafile--all-reduced.json", "all-reduced" ], "type": "table", "block": null }, { "args": [ "all-reduced" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Daily new confirmed COVID-19 cases (per 1M)", "slug": "new_cases_smoothed_per_million", "type": "Ratio", "tolerance": "2", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "0.5,,;2.5,,;5,,;10,,;50,,;100,,;250,,;500,,;1000,#580202,;4000,#011615,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "New cases (per 1M)", "slug": "new_cases_smoothed_per_million_gt_0", "type": "Ratio", "tolerance": "2", "transform": "new_cases_smoothed_per_million where new_cases_smoothed_per_million isGreaterThanOrEqual 0", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "0.5,,;2.5,,;5,,;10,,;50,,;100,,;250,,;500,,;1000,#580202,;4000,#011615,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "New deaths (per 1M)", "slug": "new_deaths_smoothed_per_million", "type": "Ratio", "tolerance": "2", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10;20;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "New deaths (per 1M)", "slug": "new_deaths_smoothed_per_million_gt_0", "type": "Ratio", "tolerance": "2", "transform": "new_deaths_smoothed_per_million where new_deaths_smoothed_per_million isGreaterThanOrEqual 0", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "0.1;0.2;0.5;1;2;5;10;20;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Vaccine doses (per 100)", "slug": "total_vaccinations_per_hundred", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "PuBuGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "10;20;30;40;50;60;70;80", "colorScaleEqualSizeBins": "true" }, { "name": "Share of people with at least one dose", "slug": "people_vaccinated_per_hundred", "type": "DecimalPercentage", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true" }, { "name": "Share of people with a complete initial protocol", "slug": "people_fully_vaccinated_per_hundred", "type": "DecimalPercentage", "color": "#034F34", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources. Alternative definitions of a full vaccination, e.g. having been infected with SARS-CoV-2 and having 1 dose of a 2-dose protocol, are ignored to maximize comparability between countries.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "YlGn", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90", "colorScaleEqualSizeBins": "true" }, { "name": "Booster doses (per 100)", "slug": "total_boosters_per_hundred", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 vaccinations. We only rely on figures that are verifiable based on public official sources.</p><p>You can download the full dataset here: https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations/locations.csv", "colorScaleScheme": "PuRd", "colorScaleNumericBins": "5;10;15;20;25;30;35;40;45", "colorScaleEqualSizeBins": "true" }, { "name": "Hospital admissions (per 1M)", "slug": "weekly_hosp_admissions_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "50;100;150;200;250;300;350;400;450;500;550;600;650;700", "colorScaleEqualSizeBins": "true" }, { "name": "Patients in ICU (per 1M)", "slug": "icu_patients_per_million", "type": "Ratio", "tolerance": "15", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "For source details see https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100;110;120;130", "colorScaleEqualSizeBins": "true" }, { "name": "Positive test rate", "slug": "positive_rate", "type": "DecimalPercentage", "tolerance": "5" }, { "name": "Positive test rate", "slug": "positive_rate_percent", "type": "DecimalPercentage", "tolerance": "10", "transform": "multiplyBy positive_rate 100", "sourceLink": "https://ourworldindata.org/coronavirus-testing#testing-for-covid-19-background-the-our-world-in-data-covid-19-testing-dataset", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 testing. Comparisons between countries are compromised for several reasons.</p><p>You can download the full dataset, alongside detailed source descriptions here: https://github.com/owid/covid-19-data/tree/master/public/data/</p>", "dataPublishedBy": "For source details see ourworldindata.org/coronavirus-testing#source-information-country-by-country", "colorScaleInvert": "true", "colorScaleScheme": "RdBu", "dataPublisherSource": "For source details see ourworldindata.org/coronavirus-testing#source-information-country-by-country", "colorScaleNoDataLabel": "No testing data", "colorScaleNumericBins": "1;2;3;5;10;20;30;50", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0", "colorScaleLegendDescription": "Positive rate" }, { "name": "New tests (per 1,000)", "slug": "new_tests_smoothed_per_thousand", "type": "Numeric", "tolerance": "10", "sourceLink": "https://ourworldindata.org/coronavirus-testing#testing-for-covid-19-background-the-our-world-in-data-covid-19-testing-dataset", "sourceName": "Official data collated by Our World in Data", "additionalInfo": "<p>Data on COVID-19 testing. Comparisons between countries are compromised for several reasons.</p><p>You can download the full dataset, alongside detailed source descriptions here: https://github.com/owid/covid-19-data/tree/master/public/data/</p>", "dataPublishedBy": "For source details see ourworldindata.org/coronavirus-testing#source-information-country-by-country", "colorScaleScheme": "YlGn", "dataPublisherSource": "For source details see ourworldindata.org/coronavirus-testing#source-information-country-by-country", "annotationsColumnSlug": "tests_units", "colorScaleNumericBins": "0.5,,;1,,;1.5,,;2,,;2.5,,;3,,;5,,;10,,;20,,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Reproduction rate", "slug": "reproduction_rate", "type": "Numeric", "tolerance": "10", "sourceLink": "https://github.com/crondonm/TrackingR/tree/main/Estimates-Database", "sourceName": "Arroyo-Marioli F, Bullano F, Kucinskas S, Rond\u00f3n-Moreno C (2021) Tracking R of COVID-19: A new real-time estimation using the Kalman filter.", "dataPublishedBy": "Arroyo-Marioli F, Bullano F, Kucinskas S, Rond\u00f3n-Moreno C (2021) Tracking R of COVID-19: A new real-time estimation using the Kalman filter. PLoS ONE 16(1): e0244474. https://doi.org/10.1371/journal.pone.0244474", "colorScaleNumericBins": "0.5,#4575b4,;0.75,#91bfdb,;1,#e0f3f8,;1.25,#fee090,;1.5,#fc8d59,;2,#d73027,", "colorScaleEqualSizeBins": "true" }, { "name": "Total excess deaths (per 1M)", "slug": "excess_mortality_cumulative_per_million", "type": "Ratio", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data", "sourceName": "Human Mortality Database (2021) and World Mortality Dataset (2021)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132021 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "colorScaleNumericBins": "-25,#74add1,;-10,#abd9e9,;0,#e0f3f8,;10,#ffffbf,;25,#fee090,;50,#fdae61,;100,#f46d43,;200,#d73027,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-50" }, { "name": "Total COVID-19 deaths (per 1M)", "slug": "total_deaths_per_million", "type": "Ratio", "tolerance": "2", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "YlOrRd", "colorScaleNumericBins": "500;1000;1500;2000;2500;3000;3500;4000", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total COVID-19 deaths", "slug": "total_deaths", "type": "Integer", "tolerance": "2", "sourceLink": "https://covid19.who.int/", "sourceName": "WHO COVID-19 Dashboard", "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>", "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "colorScaleScheme": "RdPu", "colorScaleNumericBins": "10,,;100,,;1000,,;10000,,;50000,,;100000,,;500000,,;1000000,,", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Total excess deaths", "slug": "excess_mortality_cumulative_absolute", "type": "Integer", "tolerance": "30", "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality", "sourceName": "Human Mortality Database (2021), World Mortality Dataset (2021)", "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132021 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>", "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality", "colorScaleInvert": "true", "colorScaleScheme": "RdYlBu", "annotationsColumnSlug": "annotations", "colorScaleNumericBins": "0,#e0f3f8;100000,#ffffb2;200000,#fed976;300000,#feb24c;400000,#fd8d3c;500000,#fc4e2a;600000,#e31a1c;700000,#b10026", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "-100000" } ] }, { "args": [ "https://covid.ourworldindata.org/data/internal/megafile--stringency.json", "stringency" ], "type": "table", "block": null }, { "args": [ "stringency" ], "type": "columns", "block": [ { "name": "Country name", "slug": "location", "type": "EntityName" }, { "name": "Day", "slug": "date", "type": "Date" }, { "name": "Stringency Index", "slug": "stringency_index", "type": "Numeric", "color": "#4C5C78", "tolerance": "30", "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker", "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability", "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Non-vaccinated", "slug": "stringency_index_nonvac", "type": "Numeric", "color": "#932834", "tolerance": "30", "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker", "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability", "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Vaccinated", "slug": "stringency_index_vac", "type": "Numeric", "color": "#008860", "tolerance": "30", "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker", "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability", "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "colorScaleScheme": "OrRd", "colorScaleNumericBins": "10;20;30;40;50;60;70;80;90;100", "colorScaleEqualSizeBins": "true", "colorScaleNumericMinValue": "0" }, { "name": "Weighted average of vaccinated and non-vaccinated", "slug": "stringency_index_weighted_avg", "type": "Numeric", "color": "#4C5C78", "tolerance": "30", "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker", "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8", "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability", "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). 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                {
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                {
                    "type": "LineChart",
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                {
                    "type": "LineChart",
                    "title": "Cumulative confirmed COVID-19 deaths per million people",
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                    "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.",
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                {
                    "type": "LineChart",
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                    "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.",
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                    "tableSlug": "deaths",
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                },
                {
                    "type": "LineChart",
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                    "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.",
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                {
                    "type": "LineChart",
                    "title": "Cumulative confirmed COVID-19 deaths in the last 12 months",
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                {
                    "type": "LineChart",
                    "title": "Daily new confirmed COVID-19 deaths",
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                {
                    "type": "LineChart",
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                    "tableSlug": "deaths",
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                {
                    "type": "LineChart",
                    "title": "Daily new confirmed COVID-19 deaths",
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                    "type": "LineChart",
                    "title": "Weekly confirmed COVID-19 deaths",
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                {
                    "type": "LineChart",
                    "title": "Weekly confirmed COVID-19 deaths per million people",
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                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Week by week change of confirmed COVID-19 deaths",
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                {
                    "type": "LineChart",
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                    "type": "LineChart",
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                    "tableSlug": "deaths",
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                    "type": "LineChart",
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                    "Color by test positivity Checkbox": "false"
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                {
                    "type": "LineChart",
                    "title": "Case fatality rate of COVID-19",
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                    "subtitle": "The case fatality rate (CFR) is the ratio between confirmed deaths and confirmed cases. The CFR can be a poor measure of the mortality risk of the disease. We explain this in detail at OurWorldInData.org/mortality-risk-covid",
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                    "tableSlug": "deaths",
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                {
                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Cumulative COVID-19 tests per 1,000 people",
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                    "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods",
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                    "tableSlug": "cases-tests",
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                    "Metric Dropdown": "Tests",
                    "Interval Dropdown": "Cumulative",
                    "relatedQuestionUrl": "https://ourworldindata.org/covid-testing-data-archived",
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                    "Color by test positivity Checkbox": "true"
                },
                {
                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Cumulative COVID-19 tests per 1,000 people",
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                    "Interval Dropdown": "Cumulative",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Cumulative COVID-19 tests",
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                    "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Cumulative COVID-19 tests",
                    "ySlugs": "total_tests",
                    "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods",
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                    "Metric Dropdown": "Tests",
                    "Interval Dropdown": "Cumulative",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "Color by test positivity Checkbox": "true"
                },
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "subtitle": "7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.",
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                {
                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Daily new COVID-19 tests",
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                {
                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "title": "Daily new COVID-19 tests",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                    "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.",
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                {
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                {
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                    "subtitle": "All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "New per day",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Daily COVID-19 vaccine doses administered",
                    "ySlugs": "new_vaccinations_smoothed",
                    "subtitle": "7-day rolling average. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "7-day rolling average",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Daily COVID-19 vaccine doses administered per 100 people",
                    "ySlugs": "new_vaccinations_smoothed_per_hundred",
                    "subtitle": "7-day rolling average. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "7-day rolling average",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 6 months?",
                    "ySlugs": "rolling_vaccinations_6m",
                    "subtitle": "The value shown for each date is the total number of vaccine doses administered in the 6 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "6-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 9 months?",
                    "ySlugs": "rolling_vaccinations_9m",
                    "subtitle": "The value shown for each date is the total number of vaccine doses administered in the 9 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "9-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 12 months?",
                    "ySlugs": "rolling_vaccinations_12m",
                    "subtitle": "The value shown for each date is the total number of vaccine doses administered in the 12 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "12-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 6 months?",
                    "ySlugs": "rolling_vaccinations_6m_per_hundred",
                    "subtitle": "Per 100 people in the population. The value shown for each date is the total number of vaccine doses administered in the 6 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "6-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 9 months?",
                    "ySlugs": "rolling_vaccinations_9m_per_hundred",
                    "subtitle": "Per 100 people in the population. The value shown for each date is the total number of vaccine doses administered in the 9 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "9-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "How many COVID-19 vaccine doses were administered in the previous 12 months?",
                    "ySlugs": "rolling_vaccinations_12m_per_hundred",
                    "subtitle": "Per 100 people in the population. The value shown for each date is the total number of vaccine doses administered in the 12 months preceding that date. All doses, including boosters, are counted individually.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses",
                    "Interval Dropdown": "12-month rolling total",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Number of people who received at least one dose of COVID-19 vaccine",
                    "ySlugs": "people_vaccinated",
                    "subtitle": "Total number of people who received at least one vaccine dose.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People vaccinated",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "Alternative definitions of a full vaccination, e.g. having been infected with SARS-CoV-2 and having 1 dose of a 2-dose protocol, are ignored to maximize comparability between countries.",
                    "type": "LineChart",
                    "title": "Number of people who completed the initial COVID-19 vaccination protocol",
                    "ySlugs": "people_fully_vaccinated",
                    "subtitle": "Total number of people who received all doses prescribed by the initial vaccination protocol.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People fully vaccinated",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "Alternative definitions of a full vaccination, e.g. having been infected with SARS-CoV-2 and having 1 dose of a 2-dose protocol, are ignored to maximize comparability between countries.",
                    "type": "StackedDiscreteBar",
                    "title": "Number of people vaccinated against COVID-19",
                    "ySlugs": "people_fully_vaccinated people_partly_vaccinated",
                    "hasMapTab": "false",
                    "tableSlug": "vaccinations-bydose",
                    "yScaleToggle": "false",
                    "Metric Dropdown": "People vaccinated (by dose)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "false",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Share of people who received at least one dose of COVID-19 vaccine",
                    "ySlugs": "people_vaccinated_per_hundred",
                    "subtitle": "Total number of people who received at least one vaccine dose, divided by the total population of the country.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People vaccinated",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "Alternative definitions of a full vaccination, e.g. having been infected with SARS-CoV-2 and having 1 dose of a 2-dose protocol, are ignored to maximize comparability between countries.",
                    "type": "LineChart",
                    "title": "Share of people who completed the initial COVID-19 vaccination protocol",
                    "ySlugs": "people_fully_vaccinated_per_hundred",
                    "subtitle": "Total number of people who received all doses prescribed by the initial vaccination protocol, divided by the total population of the country.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People fully vaccinated",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "Alternative definitions of a full vaccination, e.g. having been infected with SARS-CoV-2 and having 1 dose of a 2-dose protocol, are ignored to maximize comparability between countries.",
                    "type": "StackedDiscreteBar",
                    "title": "Share of people vaccinated against COVID-19",
                    "ySlugs": "people_fully_vaccinated_per_hundred people_partly_vaccinated_per_hundred",
                    "hasMapTab": "false",
                    "tableSlug": "vaccinations-bydose",
                    "yScaleToggle": "false",
                    "Metric Dropdown": "People vaccinated (by dose)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "false",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Daily number of people receiving a first COVID-19 vaccine dose",
                    "ySlugs": "new_people_vaccinated_smoothed",
                    "subtitle": "7-day rolling average",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People vaccinated",
                    "Interval Dropdown": "7-day rolling average",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Daily share of the population receiving a first COVID-19 vaccine dose",
                    "ySlugs": "new_people_vaccinated_smoothed_per_hundred",
                    "subtitle": "7-day rolling average",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "People vaccinated",
                    "Interval Dropdown": "7-day rolling average",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "COVID-19 vaccine boosters administered",
                    "ySlugs": "total_boosters",
                    "subtitle": "Total number of vaccine booster doses administered. Booster doses are doses administered beyond those prescribed by the original vaccination protocol.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine booster doses",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "COVID-19 vaccine boosters administered per 100 people",
                    "ySlugs": "total_boosters_per_hundred",
                    "subtitle": "Total number of vaccine booster doses administered, divided by the total population of the country. Booster doses are doses administered beyond those prescribed by the original vaccination protocol.",
                    "hasMapTab": "true",
                    "tableSlug": "vaccinations",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine booster doses",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "StackedDiscreteBar",
                    "title": "COVID-19 vaccine initial doses and boosters administered",
                    "ySlugs": "total_vaccinations_no_boosters total_boosters",
                    "subtitle": "Total number of doses administered, broken down by whether they are part of the initial protocol or booster doses.",
                    "hasMapTab": "false",
                    "tableSlug": "vaccinations-boosters",
                    "yScaleToggle": "false",
                    "Metric Dropdown": "Vaccine doses (by type)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "false",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "StackedDiscreteBar",
                    "title": "COVID-19 vaccine initial doses and boosters per 100 people",
                    "ySlugs": "total_vaccinations_no_boosters_per_hundred total_boosters_per_hundred",
                    "subtitle": "Total number of doses administered, broken down by whether they are part of the initial protocol or booster doses, divided by the total population of the country.",
                    "hasMapTab": "false",
                    "tableSlug": "vaccinations-boosters",
                    "yScaleToggle": "false",
                    "Metric Dropdown": "Vaccine doses (by type)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "false",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "COVID-19 vaccine doses, people with at least one dose, people with a full initial protocol, and boosters per 100 people",
                    "ySlugs": "total_vaccinations_per_hundred people_vaccinated_per_hundred people_fully_vaccinated_per_hundred total_boosters_per_hundred",
                    "hasMapTab": "false",
                    "tableSlug": "all-reduced",
                    "facetYDomain": "independent",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses, people vaccinated, and booster doses",
                    "Interval Dropdown": "Cumulative",
                    "selectedFacetStrategy": "metric",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "COVID-19 vaccine doses and confirmed deaths",
                    "ySlugs": "total_vaccinations_per_hundred new_deaths_smoothed_per_million_gt_0",
                    "subtitle": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19.",
                    "hasMapTab": "false",
                    "tableSlug": "all-reduced",
                    "facetYDomain": "independent",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses and confirmed deaths",
                    "Interval Dropdown": "7-day rolling average",
                    "selectedFacetStrategy": "metric",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "COVID-19 vaccine doses, ICU patients, and confirmed cases and deaths",
                    "ySlugs": "total_vaccinations_per_hundred new_cases_smoothed_per_million_gt_0 icu_patients_per_million new_deaths_smoothed_per_million_gt_0",
                    "subtitle": "Limited testing and challenges in the attribution of cause of death means the cases and deaths counts may not be accurate.",
                    "hasMapTab": "false",
                    "tableSlug": "all-reduced",
                    "facetYDomain": "independent",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Vaccine doses, cases, ICU patients, and deaths",
                    "Interval Dropdown": "7-day rolling average",
                    "selectedFacetStrategy": "metric",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Number of COVID-19 patients in hospital",
                    "ySlugs": "hosp_patients",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Hospital patients",
                    "Interval Dropdown": "Daily",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Number of COVID-19 patients in hospital per million people",
                    "ySlugs": "hosp_patients_per_million",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Hospital patients",
                    "Interval Dropdown": "Daily",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Weekly new hospital admissions for COVID-19",
                    "ySlugs": "weekly_hosp_admissions",
                    "subtitle": "Weekly admissions refer to the cumulative number of new admissions over the previous week.",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Hospital admissions",
                    "Interval Dropdown": "Weekly",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Weekly new hospital admissions for COVID-19 per million people",
                    "ySlugs": "weekly_hosp_admissions_per_million",
                    "subtitle": "Weekly admissions refer to the cumulative number of new admissions over the previous week.",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Hospital admissions",
                    "Interval Dropdown": "Weekly",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "For countries where the number of ICU patients is not reported, we display the closest metric (patients ventilated or in critical condition).",
                    "type": "LineChart",
                    "title": "Number of COVID-19 patients in intensive care (ICU)",
                    "ySlugs": "icu_patients",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "ICU patients",
                    "Interval Dropdown": "Daily",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "For countries where the number of ICU patients is not reported, we display the closest metric (patients ventilated or in critical condition).",
                    "type": "LineChart",
                    "title": "Number of COVID-19 patients in intensive care (ICU) per million people",
                    "ySlugs": "icu_patients_per_million",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "ICU patients",
                    "Interval Dropdown": "Daily",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "For countries where the number of ICU patients is not reported, we display the closest metric (patients ventilated or in critical condition).",
                    "type": "LineChart",
                    "title": "Weekly new ICU admissions for COVID-19",
                    "ySlugs": "weekly_icu_admissions",
                    "subtitle": "Weekly admissions refer to the cumulative number of new admissions over the previous week.",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "ICU admissions",
                    "Interval Dropdown": "Weekly",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "For countries where the number of ICU patients is not reported, we display the closest metric (patients ventilated or in critical condition).",
                    "type": "LineChart",
                    "title": "Weekly new ICU admissions for COVID-19 per million people",
                    "ySlugs": "weekly_icu_admissions_per_million",
                    "subtitle": "Weekly admissions refer to the cumulative number of new admissions over the previous week.",
                    "hasMapTab": "true",
                    "tableSlug": "hospital-admissions",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "ICU admissions",
                    "Interval Dropdown": "Weekly",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Confirmed COVID-19 cases, deaths, hospital admissions, and patients in ICU per million people",
                    "ySlugs": "new_cases_smoothed_per_million_gt_0 weekly_hosp_admissions_per_million icu_patients_per_million new_deaths_smoothed_per_million_gt_0",
                    "subtitle": "Limited testing and challenges in the attribution of cause of death means the cases and deaths counts may not be accurate.",
                    "hasMapTab": "false",
                    "tableSlug": "all-reduced",
                    "facetYDomain": "independent",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Cases, hospital admissions, ICU patients, and deaths",
                    "Interval Dropdown": "7-day rolling average",
                    "selectedFacetStrategy": "metric",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "Comparisons across countries are affected by differences in the completeness of death reporting. Details can be found at our Excess Mortality page.",
                    "type": "LineChart",
                    "title": "Excess mortality: Deaths from all causes compared to projection based on previous years",
                    "ySlugs": "excess_mortality",
                    "subtitle": "The percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (%)",
                    "Interval Dropdown": "Weekly",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Excess mortality: Cumulative deaths from all causes compared to projection based on previous years",
                    "ySlugs": "excess_mortality_cumulative",
                    "subtitle": "The percentage difference between the cumulative number of deaths since 1 January 2020 and the cumulative projected deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (%)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Excess mortality: Cumulative number of deaths from all causes compared to projection based on previous years",
                    "ySlugs": "excess_mortality_cumulative_absolute",
                    "subtitle": "The cumulative difference between the reported number of deaths since 1 January 2020 and the projected number of deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (count)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Excess mortality: Cumulative number of deaths from all causes compared to projection based on previous years, per million people",
                    "ySlugs": "excess_mortality_cumulative_per_million",
                    "subtitle": "The cumulative difference between the reported number of deaths since 1 January 2020 and the projected number of deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (count)",
                    "Interval Dropdown": "Cumulative",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Excess mortality: Cumulative number of excess deaths in the last 12 months",
                    "ySlugs": "excess_mortality_cumulative_absolute_last12m",
                    "subtitle": "The cumulative difference between the reported number of deaths in the last 12 months and the projected number of deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (count)",
                    "Interval Dropdown": "Cumulative (last 12 months)",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "false",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "type": "LineChart",
                    "title": "Excess mortality: Cumulative number of excess deaths in the last 12 months, per million people",
                    "ySlugs": "excess_mortality_cumulative_absolute_last12m_per_million",
                    "subtitle": "The cumulative difference between the reported number of deaths in the last 12 months and the projected number of deaths for the same period based on previous years. The reported number might not count all deaths that occurred due to incomplete coverage and delays in reporting.",
                    "hasMapTab": "true",
                    "tableSlug": "excess-mortality",
                    "yScaleToggle": "true",
                    "Metric Dropdown": "Excess mortality (count)",
                    "Interval Dropdown": "Cumulative (last 12 months)",
                    "hideAnnotationFieldsInTitle": "true",
                    "Relative to Population Checkbox": "true",
                    "Color by test positivity Checkbox": "false"
                },
                {
                    "note": "For some countries, all-cause deaths and COVID-19 deaths use different date schemes, in which one refers to when the death occurred and the other to when it was reported. This difference could produce an artificial lag between the two time series.",
                    "type": "LineChart",
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                    "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability",
                    "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
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                    "additionalInfo": "<p>Our hospital & ICU data is collected from official sources and collated by Our World in Data. The complete list of country-by-country sources is available <a href=\"https://github.com/owid/covid-19-data/blob/master/public/data/hospitalizations/locations.csv\">on GitHub</a>.</p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>",
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        {
            "args": [
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            "type": "columns",
            "block": [
                {
                    "name": "Code",
                    "slug": "iso_code",
                    "type": "EntityCode"
                },
                {
                    "slug": "continent",
                    "type": "Continent",
                    "colorScaleScheme": "continents",
                    "colorScaleCategoricalBins": "Africa,#923E8B,;Antarctica,#5887A1,;Asia,#2D8587,;Europe,#4C5C78,;North America,#E04E4B,;Oceania,#A8633C,;South America,#932834,"
                },
                {
                    "name": "Country name",
                    "slug": "location",
                    "type": "EntityName"
                },
                {
                    "name": "Day",
                    "slug": "date",
                    "type": "Date"
                },
                {
                    "name": "Population density",
                    "slug": "population_density",
                    "type": "PopulationDensity"
                },
                {
                    "slug": "cardiovasc_death_rate",
                    "type": "Ratio"
                },
                {
                    "slug": "diabetes_prevalence",
                    "type": "Percentage"
                },
                {
                    "slug": "female_smokers",
                    "type": "Percentage"
                },
                {
                    "slug": "male_smokers",
                    "type": "Percentage"
                },
                {
                    "slug": "handwashing_facilities",
                    "type": "Percentage"
                },
                {
                    "name": "Median age",
                    "slug": "median_age",
                    "type": "Age"
                },
                {
                    "name": "Share aged 65+",
                    "slug": "aged_65_older",
                    "type": "Percentage"
                },
                {
                    "name": "Share aged 70+",
                    "slug": "aged_70_older",
                    "type": "Percentage"
                },
                {
                    "name": "GDP per capita",
                    "slug": "gdp_per_capita",
                    "type": "Currency"
                },
                {
                    "name": "Extreme poverty",
                    "slug": "extreme_poverty",
                    "type": "Percentage"
                },
                {
                    "name": "Human Development Index",
                    "slug": "human_development_index",
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                    "name": "Hospital beds (per 1K)",
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            "block": [
                {
                    "name": "Country name",
                    "slug": "location",
                    "type": "EntityName"
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                {
                    "name": "Day",
                    "slug": "date",
                    "type": "Date"
                },
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                    "slug": "excess_mortality",
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                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "name": "Deaths from all causes compared to projection based on previous years",
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                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "name": "Deaths from all causes compared to projection based on previous years",
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                    "tolerance": "30",
                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "name": "Deaths from all causes compared to projection based on previous years",
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                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "tolerance": "30",
                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2022), World Mortality Dataset (2022)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132022 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
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                    "slug": "cumulative_estimated_daily_excess_deaths",
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                    "color": "#B13507",
                    "tolerance": "30",
                    "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model",
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                    "sourceLink": "https://github.com/TheEconomist/covid-19-the-economist-global-excess-deaths-model",
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                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
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                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Iota",
                    "slug": "Iota",
                    "type": "Percentage",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Gamma",
                    "slug": "Gamma",
                    "type": "Percentage",
                    "color": "58AC8C",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Kappa",
                    "slug": "Kappa",
                    "type": "Percentage",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Lambda",
                    "slug": "Lambda",
                    "type": "Percentage",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Mu",
                    "slug": "Mu",
                    "type": "Percentage",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron",
                    "slug": "Omicron",
                    "type": "Percentage",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>.",
                    "colorScaleScheme": "Reds",
                    "colorScaleNumericBins": "10,,;20,,;30,,;40,,;50,,;60,,;70,,;80,,;90,,;100"
                },
                {
                    "name": "Omicron (BA.1)",
                    "slug": "Omicron_BA_1",
                    "type": "Percentage",
                    "color": "#BC8E5A",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BA.2)",
                    "slug": "Omicron_BA_2",
                    "type": "Percentage",
                    "color": "#883039",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BA.4)",
                    "slug": "Omicron_BA_4",
                    "type": "Percentage",
                    "color": "#C15065",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BA.5)",
                    "slug": "Omicron_BA_5",
                    "type": "Percentage",
                    "color": "#00295B",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BA.2.12.1)",
                    "slug": "Omicron_BA_2_12_1",
                    "type": "Percentage",
                    "color": "#18470F",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BA.2.75)",
                    "slug": "Omicron_BA_2_75",
                    "type": "Percentage",
                    "color": "#9A5129",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (BQ.1)",
                    "slug": "Omicron_BQ_1",
                    "type": "Percentage",
                    "color": "#E56E5A",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (XBB)",
                    "slug": "Omicron_XBB",
                    "type": "Percentage",
                    "color": "#A2559C",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Omicron (XBB.1.5)",
                    "slug": "Omicron_XBB_1_5",
                    "type": "Percentage",
                    "color": "#00847E",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
                    "name": "Recombinant",
                    "slug": "Recombinant",
                    "type": "Percentage",
                    "color": "#3B8E1D",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
                },
                {
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                    "color": "#D73C50",
                    "tolerance": "15",
                    "sourceLink": "https://www.gisaid.org/",
                    "sourceName": "GISAID, via CoVariants.org",
                    "additionalInfo": "Enabled by data from <a href=\"https://gisaid.org\"><img src=\"https://www.gisaid.org/fileadmin/gisaid/img/schild.png\" width=\"50\"/></a><br><br>Our data on SARS-CoV-2 sequencing and variants is sourced from <a href=\"https://gisaid.org\">GISAID</a>, a global science initiative that provides open-access to genomic data of SARS-CoV-2. We recognize the work of the authors and laboratories responsible for producing this data and sharing it via the GISAID initiative.<br><br>Khare, S., et al (2021) GISAID\u2019s Role in Pandemic Response. China CDC Weekly, 3(49): 1049-1051. doi: 10.46234/ccdcw2021.255  PMCID: 8668406<br><br>Elbe, S. and Buckland-Merrett, G. (2017) Data, disease and diplomacy: GISAID\u2019s innovative contribution to global health. Global Challenges, 1:33-46. doi:10.1002/gch2.1018  PMCID: 31565258<br><br>Shu, Y. and McCauley, J. (2017) GISAID: from vision to reality. EuroSurveillance, 22(13) doi:10.2807/1560-7917.ES.2017.22.13.30494 PMCID: PMC5388101<br><br>We download aggregate-level data via <a href=\"https://covariants.org\">CoVariants.org</a>."
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                    "tolerance": "30",
                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data",
                    "sourceName": "Human Mortality Database (2021) and World Mortality Dataset (2021)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132021 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
                    "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality",
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                    "colorScaleNumericBins": "-25,#74add1,;-10,#abd9e9,;0,#e0f3f8,;10,#ffffbf,;25,#fee090,;50,#fdae61,;100,#f46d43,;200,#d73027,",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "-50"
                },
                {
                    "name": "Total COVID-19 deaths (per 1M)",
                    "slug": "total_deaths_per_million",
                    "type": "Ratio",
                    "tolerance": "2",
                    "sourceLink": "https://covid19.who.int/",
                    "sourceName": "WHO COVID-19 Dashboard",
                    "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>",
                    "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University",
                    "colorScaleScheme": "YlOrRd",
                    "colorScaleNumericBins": "500;1000;1500;2000;2500;3000;3500;4000",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total COVID-19 deaths",
                    "slug": "total_deaths",
                    "type": "Integer",
                    "tolerance": "2",
                    "sourceLink": "https://covid19.who.int/",
                    "sourceName": "WHO COVID-19 Dashboard",
                    "additionalInfo": "<p>Raw data on confirmed cases and deaths for all countries is sourced from the <a href=\"https://covid19.who.int/data\">WHO COVID-19 Dashboard</a>. </p><p>Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by <em>Our World in Data</em>. <strong>It is updated daily</strong> and includes data on confirmed cases, deaths, hospitalizations, and testing.</p><p>You find it at our GitHub repository <strong><a href=\"https://github.com/owid/covid-19-data/tree/master/public/data/\">here</a></strong>.</p>",
                    "dataPublishedBy": "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University",
                    "colorScaleScheme": "RdPu",
                    "colorScaleNumericBins": "10,,;100,,;1000,,;10000,,;50000,,;100000,,;500000,,;1000000,,",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Total excess deaths",
                    "slug": "excess_mortality_cumulative_absolute",
                    "type": "Integer",
                    "tolerance": "30",
                    "sourceLink": "https://github.com/owid/covid-19-data/tree/master/public/data/excess_mortality",
                    "sourceName": "Human Mortality Database (2021), World Mortality Dataset (2021)",
                    "additionalInfo": "<p>All-cause mortality data is from the Human Mortality Database (HMD) Short-term Mortality Fluctuations project and the World Mortality Dataset (WMD). Both sources are updated weekly.</p><p>We do not use the data from some countries in WMD because they fail to meet the following data quality criteria: 1) at least three years of historical data; and 2) data published either weekly or monthly. The full list of excluded countries and reasons for exclusion can be found in this spreadsheet: https://docs.google.com/spreadsheets/d/1JPMtzsx-smO3_K4ReK_HMeuVLEzVZ71qHghSuAfG788/edit?usp=sharing.</p><p>For a full list of source information (i.e., HMD or WMD) country by country, see: https://ourworldindata.org/excess-mortality-covid#source-information-country-by-country.</p><p>We calculate P-scores using the reported deaths data from HMD and WMD and the projected deaths for 2020 from WMD (which we use for all countries and regions, including for deaths broken down by age group). The P-score is the percentage difference between the reported number of weekly or monthly deaths in 2020\u20132021 and the projected number of deaths for the same period based on previous years.</p><p>We calculate the number of weekly deaths for the United Kingdom by summing the weekly deaths from England & Wales, Scotland, and Northern Ireland.</p><p>For important issues and caveats to understand when interpreting excess mortality data, see our excess mortality page at https://ourworldindata.org/excess-mortality-covid.</p><p>For a more detailed description of the HMD data, including week date definitions, the coverage (of individuals, locations, and time), whether dates are for death occurrence or registration, the original national source information, and important caveats, see the HMD metadata file at https://www.mortality.org/Public/STMF_DOC/STMFmetadata.pdf.</p><p>For a more detailed description of the WMD data, including original source information, see their GitHub page at https://github.com/akarlinsky/world_mortality.</p>",
                    "dataPublishedBy": "https://www.mortality.org/, https://github.com/akarlinsky/world_mortality",
                    "colorScaleInvert": "true",
                    "colorScaleScheme": "RdYlBu",
                    "annotationsColumnSlug": "annotations",
                    "colorScaleNumericBins": "0,#e0f3f8;100000,#ffffb2;200000,#fed976;300000,#feb24c;400000,#fd8d3c;500000,#fc4e2a;600000,#e31a1c;700000,#b10026",
                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "-100000"
                }
            ]
        },
        {
            "args": [
                "https://covid.ourworldindata.org/data/internal/megafile--stringency.json",
                "stringency"
            ],
            "type": "table",
            "block": null
        },
        {
            "args": [
                "stringency"
            ],
            "type": "columns",
            "block": [
                {
                    "name": "Country name",
                    "slug": "location",
                    "type": "EntityName"
                },
                {
                    "name": "Day",
                    "slug": "date",
                    "type": "Date"
                },
                {
                    "name": "Stringency Index",
                    "slug": "stringency_index",
                    "type": "Numeric",
                    "color": "#4C5C78",
                    "tolerance": "30",
                    "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker",
                    "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
                    "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability",
                    "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Non-vaccinated",
                    "slug": "stringency_index_nonvac",
                    "type": "Numeric",
                    "color": "#932834",
                    "tolerance": "30",
                    "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker",
                    "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
                    "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability",
                    "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Vaccinated",
                    "slug": "stringency_index_vac",
                    "type": "Numeric",
                    "color": "#008860",
                    "tolerance": "30",
                    "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker",
                    "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
                    "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability",
                    "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
                    "colorScaleScheme": "OrRd",
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                    "colorScaleEqualSizeBins": "true",
                    "colorScaleNumericMinValue": "0"
                },
                {
                    "name": "Weighted average of vaccinated and non-vaccinated",
                    "slug": "stringency_index_weighted_avg",
                    "type": "Numeric",
                    "color": "#4C5C78",
                    "tolerance": "30",
                    "sourceLink": "https://www.bsg.ox.ac.uk/research/research-projects/oxford-covid-19-government-response-tracker",
                    "sourceName": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
                    "additionalInfo": "OxCGRT collects publicly available information on indicators of government response. These indicators take policies such as school closures, travel bans, etc. and record them on an ordinal scale; the remainder are financial indicators such as fiscal or monetary measures.<br><br>OxCGRT measures the variation in governments\u2019 responses using its 'COVID-19 Government Response Stringency Index (Stringency Index)'. This composite measure is a simple additive score of nine indicators measured on an ordinal scale, rescaled to vary from 0 to 100. Please note that this measure is for comparative purposes only, and should not necessarily be interpreted as a rating of the appropriateness or effectiveness of a country's response.<br><br>It also includes a measure of 'COVID-19 Containment and Health Response' index which is based on the metrics used in the 'Stringency Index' plus testing policy, contact tracing, face coverings and vaccine policy.<br><br>Note: <br>This is an ongoing collation project of live data. If you see any inaccuracies in the underlying data please contact us on the feedback form below. The underlying index is evolving as the situation and data evolves from country to country, and will change over time as the data gets more accurate.<br><br>The specific policy and response categories are coded as follows:<br><br>School closures:<br>0 - No measures<br>1 - recommend closing<br>2 - Require closing (only some levels or categories,<br>eg just high school, or just public schools)<br>3 - Require closing all levels<br>No data - blank<br><br>Workplace closures:<br>0 - No measures<br>1 - recommend closing (or work from home)<br>2 - require closing (or work from home) for some<br>sectors or categories of workers<br>3 - require closing (or work from home) all but essential workplaces (eg grocery stores, doctors)<br>No data - blank<br><br>Cancel public events:<br>0- No measures<br>1 - Recommend cancelling<br>2 - Require cancelling<br>No data - blank<br><br>Restrictions on gatherings:<br>0 - No restrictions<br>1 - Restrictions on very large gatherings (the limit is above 1000 people)<br>2 - Restrictions on gatherings between 100-1000 people<br>3 - Restrictions on gatherings between 10-100 people<br>4 - Restrictions on gatherings of less than 10 people<br>No data - blank<br><br>Close public transport:<br>0 - No measures<br>1 - Recommend closing (or significantly reduce volume/route/means of transport available)<br>2 - Require closing (or prohibit most citizens from using it)<br><br>Public information campaigns:<br>0 -No COVID-19 public information campaign<br>1 - public officials urging caution about COVID-19<br>2 - coordinated public information campaign (e.g. across traditional and social media)<br>No data - blank<br><br>Stay at home:<br>0 - No measures<br>1 - recommend not leaving house<br>2 - require not leaving house with exceptions for daily exercise, grocery shopping, and \u2018essential\u2019 trips<br>3 - Require not leaving house with minimal exceptions (e.g. allowed to leave only once every few days, or only one person can leave at a time, etc.)<br>No data - blank<br><br>Restrictions on internal movement:<br>0 - No measures<br>1 - Recommend movement restriction<br>2 - Restrict movement<br><br>International travel controls:<br>0 - No measures<br>1 - Screening<br>2 - Quarantine arrivals from high-risk regions<br>3 - Ban on high-risk regions<br>4 - Total border closure<br>No data - blank<br><br>Testing policy<br>0 \u2013 No testing policy<br>1 \u2013 Only those who both (a) have symptoms AND (b) meet specific criteria (eg key workers, admitted to hospital, came into contact with a known case, returned from overseas)<br>2 \u2013 testing of anyone showing COVID-19 symptoms<br>3 \u2013 open public testing (eg \u201cdrive through\u201d testing available to asymptomatic people)<br>No data<br><br>Contract tracing<br>0 - No contact tracing<br>1 - Limited contact tracing - not done for all cases<br>2 - Comprehensive contact tracing - done for all cases<br>No data<br><br>Face coverings<br>0- No policy<br>1- Recommended<br>2- Required in some specified shared/public spaces outside the home with other people present, or some situations when social distancing not possible<br>3- Required in all shared/public spaces outside the home with other people present or all situations when social distancing not possible<br>4- Required outside the home at all times regardless of location or presence of other people<br><br>Vaccination policy<br>0 - No availability<br>1 - Availability for ONE of following: key workers/ clinically vulnerable groups / elderly groups<br>2 - Availability for TWO of following: key workers/ clinically vulnerable groups / elderly groups<br>3 - Availability for ALL of following: key workers/ clinically vulnerable groups / elderly groups<br>4 - Availability for all three plus partial additional availability (select broad groups/ages)<br>5 - Universal availability",
                    "dataPublishedBy": "Hale, T., Angrist, N., Goldszmidt, R. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav 5, 529\u2013538 (2021). https://doi.org/10.1038/s41562-021-01079-8",
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}

2023-06-01 19:11:24

2023-09-26 09:15:49

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