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id ▲ | name | unit | description | createdAt | updatedAt | code | coverage | timespan | datasetId | sourceId | shortUnit | display | columnOrder | originalMetadata | grapherConfigAdmin | shortName | catalogPath | dimensions | schemaVersion | processingLevel | processingLog | titlePublic | titleVariant | attributionShort | attribution | descriptionShort | descriptionFromProducer | descriptionKey | descriptionProcessing | licenses | license | grapherConfigETL | type | sort | dataChecksum | metadataChecksum |
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146200 | Infant mortality rate (probability of dying between birth and age 1 per 1000 live births) | Rationale: Infant mortality represents an important component of under-five mortality. Like under-five mortality, infant mortality rates measure child survival. They also reflect the social, economic and environmental conditions in which children (and others in society) live, including their health care. Since data on the incidence and prevalence of diseases (morbidity data) frequently are unavailable, mortality rates are often used to identify vulnerable populations. Infant mortality rate is an MDG indicator. Definition: Infant mortality rate is the probability of a child born in a specific year or period dying before reaching the age of one, if subject to age-specific mortality rates of that period. Infant mortality rate is strictly speaking not a rate (i.e. the number of deaths divided by the number of population at risk during a certain period of time) but a probability of death derived from a life table and expressed as rate per 1000 live births. Method of measurement: Most frequently used methods using the above-mentioned data sources are as follows: • Civil registration: Number of deaths at age 0 and population for the same age are used to calculate death rate which are then converted into age-specific probability of dying. • Census and surveys: An indirect method is used based on questions to each woman of reproductive age as to how many children she has ever born and how many are still alive. The Brass method and model life tables are then used to obtain an estimate of infant mortality. • Surveys: A direct method is used based on birth history - a series of detailed questions on each child a woman has given birth to during her lifetime. To reduce sampling errors, the estimates are generally presented as period rates, for five or 10 years preceding the survey. Method of estimation: The Inter-agency Group for Child Mortality of Estimation (UN IGME) which includes representatives from UNICEF, WHO, the World Bank and the United Nations Population Division, produces trends of infant mortality rates with … | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Infant mortality rate", "unit": "%", "shortUnit": "%", "includeInTable": true, "conversionFactor": 0.1, "numDecimalPlaces": 1 } |
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146199 | Estimated number of malaria deaths | Definition: - Method of estimation: The number of malaria deaths was estimated by one of two methods: i) For countries outside Africa and for low-transmission countries in Africa: the number of deaths was estimated by multiplying the estimated number of P. falciparum malaria cases by a fixed case fatality rate for each country, as described in the World malaria report 2008. This method was used for all countries outside Africa and for low-transmission countries in Africa, where estimates of case incidence were derived from routine reporting systems. A case fatality rate of between 0.01% and 0.40% was applied to the estimated number of P. falciparum cases, and a case fatality rate of between 0.01% and 0.06% was applied to the estimated number of P. vivax cases. For countries in the pre-elimination and elimination phases, and those with vital registration systems that reported more than 50% of all deaths (determined by comparing the number of reported deaths with those expected given a country’s population size and crude deaths rate), the number of malaria deaths was derived from the number of reported deaths, adjusting for completeness of reporting. ii) For countries in Africa with a high proportion of deaths due to malaria: child malaria deaths were estimated using a verbal autopsy multicause model developed by the Maternal and Child Health Epidemiology Estimation Group which estimates causes of death for children aged 1–59 months. Mortality estimates were derived for seven causes of post-neonatal death (pneumonia, diarrhoea, malaria, meningitis, injuries, pertussis and other disorders), causes arising in the neonatal period (prematurity, birth asphyxia and trauma, sepsis, and other conditions of the neonate) and other causes (e.g. malnutrition). Deaths due to measles, unknown causes and HIV/AIDS were estimated separately. The resulting cause-specific estimates were adjusted, country by country, to fit the estimated 1–59 month mortality envelopes (excluding HIV and measles deaths) for corresponding years. … | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Estimated number of deaths from malaria", "includeInTable": true, "numDecimalPlaces": 1 } |
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146198 | Number of deaths due to HIV/AIDS | Definition: The estimated number of adults and children that have died due to HIV/AIDS in a specific year. Method of estimation: Empirical data from different HIV surveillance sources are consolidated to obtain estimates of the level and trend on HIV infection and of mortality in adults and children. Standard methods and tools for HIV estimates that are appropriate to the pattern of the HIV epidemic are used . However, to obtain the best possible estimates, judgement needs to be used as to the quality of the data and how representative it is of the population. UNAIDS and WHO produce country-specific estimates of mortality due to HIV/AIDS every two years. | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Number of deaths from HIV/AIDS", "includeInTable": true, "numDecimalPlaces": 1 } |
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146197 | Malaria - number of reported deaths | Definition: The sum deaths from malaria from confirmed and probable cases. Method of estimation: WHO compiles data on reported deaths from malaria, submitted by the national malaria control programmes (NMCPs). Predominant type of statistics: unadjusted | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Reported number of deaths from malaria", "includeInTable": true, "numDecimalPlaces": 1 } |
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146196 | Deaths due to tuberculosis among HIV-negative people (per 100 000 population) | Rationale: Incidence, prevalence and mortality are the three main indicators used to assess the burden of disease caused by TB. Of the three, mortality is the only indicator that can be directly measured in all countries (provided vital registration systems are in place). Target 6.c of the Millenium development Goals is to "have halted by 2015 and begun to reverse the incidence of malaria and other major diseases". Indicator 6.9 is defined as "incidence, prevalence and death rates associated with TB". The Stop TB Partnership has set a target of halving the 1990 TB mortality rate by 2015. . Definition: The estimated number of deaths attributable to tuberculosis (TB) in a given year, expressed as the rate per 100 000 population. Published values are rounded to three significant figures. Uncertainty bounds are provided in addition to best estimates. See Annex 1 of the WHO Global tuberculosis control report Method of measurement: Vital registration data are used where available. Elsewhere, estimates of mortality are derived from estimates of incidence and the case fatality rate. Estimates of TB mortality are produced through a consultative and analytical process led by WHO and are published annually. See "Method of Estimation". Method of estimation: Estimates of TB mortality are produced through a consultative and analytical process led by WHO and are published annually. Uncertainty bounds are provided in addition to best estimates. Published values are rounded to three significant figures. | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Death rate from tuberculosis among HIV-negative people", "includeInTable": true, "numDecimalPlaces": 1 } |
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146195 | Under-five mortality rate (probability of dying by age 5 per 1000 live births) | Rationale: Under-five mortality rate measures child survival. It also reflects the social, economic and environmental conditions in which children (and others in society) live, including their health care. Because data on the incidences and prevalence of diseases (morbidity data) frequently are unavailable, mortality rates are often used to identify vulnerable populations. Under-five mortality rate is an MDG indicator. Definition: The probability of a child born in a specific year or period dying before reaching the age of five, if subject to age-specific mortality rates of that period. Under-five mortality rate as defined here is strictly speaking not a rate (i.e. the number of deaths divided by the number of population at risk during a certain period of time) but a probability of death derived from a life table and expressed as rate per 1000 live births. Method of estimation: The Inter-agency Group for Child Mortality of Estimation which includes representatives from UNICEF, WHO, the World Bank and the United Nations Population Division, produces trends of under-five mortality with standardized methodology by group of countries depending on the type and quality of source of data available. For countries with adequate trend of data from civil registration, the calculations of under-five and infant mortality rates are derived from a standard period abridged life table. For countries with survey data, under-five mortality rates are estimated using the Bayesian B-splines bias-adjusted model. See the Estimation methods link for details. These under-five mortality rates have been estimated by applying methods to all Member States to the available data from Member States, that aim to ensure comparability of across countries and time; hence they are not necessarily the same as the official national data. Predominant type of statistics: adjusted and predicted. | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Child mortality rate", "unit": "%", "shortUnit": "%", "includeInTable": true, "conversionFactor": 0.1, "numDecimalPlaces": 1 } |
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146194 | Maternal mortality ratio (per 100 000 live births) | Rationale: In 2015, in anticipation of the launch of the SDGs, the World Health Organization (WHO) and partners released a consensus statement and full strategy paper on ending preventable maternal mortality (EPMM).The EPMM target for reducing the global maternal mortality ratio (MMR) by 2030 was adopted as SDG target 3.1: reduce global MMR to less than 70 per 100 000 live births by 2030. WHO leads the UN Maternal Mortality Estimation Interagency Group (MMEIG) composed of WHO, UNICEF, UNFPA, the United Nations Population Division, and the World Bank Group. The MMEIG is tasked with generating internationally comparable estimates of maternal mortality for the purposes of global monitoring, having done so for Millennium Development Goal reporting and will continue to do under the Sustainable Development Goals framework. Monitoring maternal health is widely seen as one of the most complicated health indicators within global frameworks. Significant unfinished business and challenges remain with estimating MMR; primarily due to the availability and usability of population based data on maternal death. Definition: The maternal mortality ratio (MMR) is defined as the number of maternal deaths during a given time period per 100,000 live births during the same time period. It depicts the risk of maternal death relative to the number of live births and essentially captures the risk of death in a single pregnancy or a single live birth. Maternal deaths: The annual number of female deaths from any cause related to or aggravated by pregnancy or its management (excluding accidental or incidental causes) during pregnancy and childbirth or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, expressed per 100,000 live births, for a specified time period. Live birth : The complete expulsion or extraction from its mother of a product of conception, irrespective of the duration of the pregnancy, which, after such separation, breathes or shows any other evidence of life such as beatin… | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Maternal mortality ratio", "includeInTable": true, "numDecimalPlaces": 1 } |
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146193 | Number of deaths due to tuberculosis, excluding HIV | Rationale: Incidence, prevalence and mortality are the three main indicators used to assess the burden of disease caused by TB. Of the three, mortality is the only indicator that can be directly measured in all countries (provided vital registration systems are in place). Target 6.c of the Millenium development Goals is to "have halted by 2015 and begun to reverse the incidence of malaria and other major diseases". Indicator 6.9 is defined as "incidence, prevalence and death rates associated with TB". The Stop TB Partnership has set a target of halving the 1990 TB mortality rate by 2015. . Definition: The estimated number of deaths attributable to tuberculosis (TB) in a given year. Published values are rounded to two significant figures. Uncertainty bounds are provided in addition to best estimates. See Annex 1 of the WHO Global tuberculosis control report Method of measurement: Vital registration data are used where available. Elsewhere, estimates of mortality are derived from estimates of incidence and the case fatality rate. Estimates of TB mortality are produced through a consultative and analytical process led by WHO and are published annually. See "Method of Estimation". Method of estimation: Estimates of TB mortality are produced through a consultative and analytical process led by WHO and are published annually. Uncertainty bounds are provided in addition to best estimates. Published values are rounded to two significant figures. Predominant type of statistics: predicted | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Number of deaths from tuberculosis among HIV-negative people", "includeInTable": true, "numDecimalPlaces": 1 } |
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146192 | Polio (Pol3) immunization coverage among 1-year-olds (%) | Rationale: Immunization is an essential component for reducing under-five mortality. Immunization coverage estimates are used to monitor coverage of immunization services and to guide disease eradication and elimination efforts. It is a good indicator of health system performance. Definition: The percentage of one-year-olds who have received three doses of polio vaccine in a given year. Method of measurement: Service/facility reporting system ("administrative data"): Reports of vaccinations performed by service providers (e.g. district health centres, vaccination teams, physicians) are used for estimates based on service/facility records. The estimate of immunization coverage is derived by dividing the total number of vaccinations given by the number of children in the target population, often based on census projections. Household surveys: Survey items correspond to children’s history in coverage surveys. The principle types of surveys are the Expanded Programme on Immunization (EPI) 30-cluster survey, the UNICEF Multiple Indicator Cluster Survey (MICS), and the Demographic and Health Survey (DHS). The indicator is estimated as the percentage of children ages 12–23 months who received three doses of the polio vaccine before the survey. Method of estimation: Distinction is made between situations where data reported by national authorities accurately reflect immunization system performance and those where the data are likely compromised and may present a misleading view of immunization coverage. While there are frequently general trends in immunization coverage levels, no attempt is made to fit data points using smoothing techniques or time series methods. The estimates are informed and constrained by the following heuristics: Country–specific: Each country's data are reviewed individually; data and information are not "borrowed" from other countries. If national data are available from a single source, the estimates are based solely on that source, supplemented with linear interpolation to impute values f… | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Share of one-year-olds vaccinated against polio (Pol3)", "unit": "%", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1 } |
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146191 | Measles-containing-vaccine first-dose (MCV1) immunization coverage among 1-year-olds (%) | Rationale: Immunization is an essential component for reducing under-five mortality. Immunization coverage estimates are used to monitor coverage of immunization services and to guide disease eradication and elimination efforts. It is a good indicator of health system performance. Percentage of children under one year of age immunized against measles is one of MDG indicators. Definition: The percentage of children under one year of age who have received at least one dose of measles-containing vaccine in a given year. For countries recommending the first dose of measles vaccine in children over 12 months of age, the indicator is calculated as the proportion of children less than 12-23 months of age receiving one dose of measles-containing vaccine. Method of measurement: Service/facility reporting system ("administrative data"): Reports of vaccinations performed by service providers (e.g. district health centres, vaccination teams, physicians) are used for estimates based on service/facility records. The estimate of immunization coverage is derived by dividing the total number of vaccinations given by the number of children in the target population, often based on census projections. Household surveys: Survey items correspond to children’s history in coverage surveys. The principle types of surveys are the Expanded Programme on Immunization (EPI) 30-cluster survey, the UNICEF Multiple Indicator Cluster Survey (MICS), and the Demographic and Health Survey (DHS). The indicator is estimated as the percentage of children ages 12–23 months who received at least one dose of measles vaccine either any time before the survey or before the age of 12 months. Method of estimation: Distinction is made between situations where data reported by national authorities accurately reflect immunization system performance and those where the data are likely compromised and may present a misleading view of immunization coverage. While there are frequently general trends in immunization coverage levels, no attempt is made to fit da… | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Share of one-year-olds vaccinated against measles (MCV1)", "unit": "%", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1 } |
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146190 | Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage among 1-year-olds (%) | Rationale: Immunization is an essential component for reducing under-five mortality. Immunization coverage estimates are used to monitor coverage of immunization services and to guide disease eradication and elimination efforts. It is a good indicator of health system performance. Definition: The percentage of one-year-olds who have received three doses of the combined diphtheria, tetanus toxoid and pertussis vaccine in a given year. Method of measurement: Service/facility reporting system ("administrative data"): Reports of vaccinations performed by service providers (e.g. district health centres, vaccination teams, physicians) are used for estimates based on service/facility records. The estimate of immunization coverage is derived by dividing the total number of vaccinations given by the number of children in the target population, often based on census projections. Household surveys: Survey items correspond to children’s history in coverage surveys. The principle types of surveys are the Expanded Programme on Immunization (EPI) 30-cluster survey, the UNICEF Multiple Indicator Cluster Survey (MICS), and the Demographic and Health Survey (DHS). The indicator is estimated as the percentage of children ages 12–23 months who received three doses of the combined diphtheria, tetanus toxoid and pertussis vaccine time before the survey. Method of estimation: Distinction is made between situations where data reported by national authorities accurately reflect immunization system performance and those where the data are likely compromised and may present a misleading view of immunization coverage. While there are frequently general trends in immunization coverage levels, no attempt is made to fit data points using smoothing techniques or time series methods. The estimates are informed and constrained by the following heuristics: Country–specific: Each country's data are reviewed individually; data and information are not "borrowed" from other countries. If national data are available from a single source, the estim… | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Share of one-year-olds vaccinated against diphtheria, pertussis, and tetanus (DTP3)", "unit": "%", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1 } |
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146189 | Life expectancy at birth (years) | Rationale: Life expectancy at birth reflects the overall mortality level of a population. It summarizes the mortality pattern that prevails across all age groups - children and adolescents, adults and the elderly. Definition: The average number of years that a newborn could expect to live, if he or she were to pass through life exposed to the sex- and age-specific death rates prevailing at the time of his or her birth, for a specific year, in a given country, territory, or geographic area. Method of measurement: Life expectancy at birth is derived from life tables and is based on sex- and age-specific death rates. Life expectancy at birth values from the United Nations correspond to mid-year estimates, consistent with the corresponding United Nations fertility medium-variant quinquennial population projections. Method of estimation: Final estimates of age-sex-specific mortality rates for years 1990-2019 were used to compute abridged life tables for 183 WHO Member States with population of 90,000 or greater in 2019. Life expectancies at birth are reported in World Health Statistics 2019 and full life tables are available in the WHO Global Health Observatory WHO applies standard methods to the analysis of Member State data to ensure comparability of estimates across countries. This will inevitably result in differences for some Member States with official estimates for quantities such as life expectancy, where a variety of different projection methods and other methods are used. These WHO estimates of mortality and life expectancies should not be regarded as the nationally endorsed statistics of Member States, which may have been derived using alternative methodologies and assumptions. | 2021-03-22 04:09:00 | 2023-06-15 05:05:42 | Global Health Observatory - World Health Organization (2021.03) 5279 | Global Health Observatory - World Health Organization (2021.03) 18006 | { "name": "Life expectancy at birth", "unit": "years", "shortUnit": "years", "includeInTable": true, "numDecimalPlaces": 1 } |
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CREATE TABLE "variables" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(750) NULL , "unit" VARCHAR(255) NOT NULL , "description" TEXT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "code" VARCHAR(255) NULL , "coverage" VARCHAR(255) NOT NULL , "timespan" VARCHAR(255) NOT NULL , "datasetId" INTEGER NOT NULL , "sourceId" INTEGER NULL , "shortUnit" VARCHAR(255) NULL , "display" TEXT NOT NULL , "columnOrder" INTEGER NOT NULL DEFAULT '0' , "originalMetadata" TEXT NULL , "grapherConfigAdmin" TEXT NULL , "shortName" VARCHAR(255) NULL , "catalogPath" VARCHAR(767) NULL , "dimensions" TEXT NULL , "schemaVersion" INTEGER NOT NULL DEFAULT '1' , "processingLevel" VARCHAR(30) NULL , "processingLog" TEXT NULL , "titlePublic" VARCHAR(512) NULL , "titleVariant" VARCHAR(255) NULL , "attributionShort" VARCHAR(512) NULL , "attribution" TEXT NULL , "descriptionShort" TEXT NULL , "descriptionFromProducer" TEXT NULL , "descriptionKey" TEXT NULL , "descriptionProcessing" TEXT NULL , "licenses" TEXT NULL , "license" TEXT NULL , "grapherConfigETL" TEXT NULL , "type" TEXT NULL , "sort" TEXT NULL , "dataChecksum" VARCHAR(64) NULL , "metadataChecksum" VARCHAR(64) NULL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT, FOREIGN KEY("sourceId") REFERENCES "sources" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE UNIQUE INDEX "idx_catalogPath" ON "variables" ("catalogPath"); CREATE UNIQUE INDEX "unique_short_name_per_dataset" ON "variables" ("shortName", "datasetId"); CREATE UNIQUE INDEX "variables_code_fk_dst_id_7bde8c2a_uniq" ON "variables" ("code", "datasetId"); CREATE INDEX "variables_datasetId_50a98bfd_fk_datasets_id" ON "variables" ("datasetId"); CREATE UNIQUE INDEX "variables_name_fk_dst_id_f7453c33_uniq" ON "variables" ("name", "datasetId"); CREATE INDEX "variables_sourceId_31fce80a_fk_sources_id" ON "variables" ("sourceId");