variables
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14 rows where sourceId = 18140 sorted by id descending
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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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158722 | Young people (ages 15-24) newly infected with HIV | Number of young people (ages 15-24) newly infected with HIV. | 2021-08-10 01:59:15 | 2023-06-15 05:05:42 | SH.HIV.INCD.YG | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
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157883 | Incidence of HIV, all (per 1,000 uninfected population) | Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data. | 2021-08-10 01:59:07 | 2023-06-15 05:05:42 | SH.HIV.INCD.TL.P3 | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
1 | ||||||||||||||||||||||||
157881 | Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24) | Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data. | 2021-08-10 01:59:07 | 2023-06-15 05:05:42 | SH.HIV.INCD.YG.P3 | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
1 | ||||||||||||||||||||||||
157335 | Adults (ages 15-49) newly infected with HIV | Number of adults (ages 15-49) newly infected with HIV. | 2021-08-10 01:59:02 | 2023-06-15 05:05:42 | SH.HIV.INCD | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
1 | ||||||||||||||||||||||||
147978 | Children (ages 0-14) newly infected with HIV | ages 0-14 | Number of children (ages 0-14) newly infected with HIV. | 2021-08-09 06:23:34 | 2023-06-15 05:05:42 | SH.HIV.INCD.14 | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
1 | |||||||||||||||||||||||
147976 | Children (0-14) living with HIV | 0-14 | Children living with HIV refers to the number of children ages 0-14 who are infected with HIV. | 2021-08-09 06:23:34 | 2023-06-15 05:05:42 | SH.HIV.0014 | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | 0-14 | {} |
0 | {} |
1 | ||||||||||||||||||||||
147973 | Adults (ages 15+) and children (ages 0-14) newly infected with HIV | ages 0-14 | Number of adults (ages 15+) and children (ages 0-14) newly infected with HIV. | 2021-08-09 06:23:34 | 2023-06-15 05:05:42 | SH.HIV.INCD.TL | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | {} |
0 | {} |
1 | |||||||||||||||||||||||
147932 | Antiretroviral therapy coverage for PMTCT (% of pregnant women living with HIV) | % of pregnant women living with HIV | Percentage of pregnant women with HIV who receive antiretroviral medicine for prevention of mother-to-child transmission (PMTCT). | 2021-08-09 06:23:33 | 2023-06-15 05:05:42 | SH.HIV.PMTC.ZS | 2000-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
1 | ||||||||||||||||||||||
147930 | Women's share of population ages 15+ living with HIV (%) | % | Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population ages 15+ who are living with HIV. Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. Statistical concept and methodology: HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable. Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates. | 2021-08-09 06:23:33 | 2023-06-15 05:05:42 | SH.DYN.AIDS.FE.ZS | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
1 | ||||||||||||||||||||||
147914 | Prevalence of HIV, total (% of population ages 15-49) | % of population ages 15-49 | Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. Statistical concept and methodology: HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable. Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates. | 2021-08-09 06:23:33 | 2023-06-15 05:05:42 | SH.DYN.AIDS.ZS | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
1 | ||||||||||||||||||||||
147912 | Prevalence of HIV, male (% ages 15-24) | % ages 15-24 | Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group. Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. Statistical concept and methodology: HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable. Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates. | 2021-08-09 06:23:33 | 2023-06-15 05:05:42 | SH.HIV.1524.MA.ZS | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
1 | ||||||||||||||||||||||
147911 | Prevalence of HIV, female (% ages 15-24) | % ages 15-24 | Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group. Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. Statistical concept and methodology: HIV prevalence rates reflect the rate of HIV infection in each country's population. Low national prevalence rates can be misleading, however. They often disguise epidemics that are initially concentrated in certain localities or population groups and threaten to spill over into the wider population. In many developing countries most new infections occur in young adults, with young women especially vulnerable. Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. The models, which are routinely updated, track the course of HIV epidemics and their impact, making full use of information in HIV prevalence trends from surveillance data as well as survey data. The models take into account reduced infectivity among people receiving antiretroviral therapy (which is having a larger impact on HIV prevalence and allowing HIV-positive people to live longer) and allow for changes in urbanization over time in generalized epidemics. The estimates include plausibility bounds, which reflect the certainty associated with each of the estimates. | 2021-08-09 06:23:33 | 2023-06-15 05:05:42 | SH.HIV.1524.FE.ZS | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
1 | ||||||||||||||||||||||
147814 | Antiretroviral therapy coverage (% of people living with HIV) | % of people living with HIV | Antiretroviral therapy coverage indicates the percentage of all people living with HIV who are receiving antiretroviral therapy. Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. Statistical concept and methodology: Data on HIV are from the Joint United Nations Programme on HIV/AIDS (UNAIDS). Changes in procedures and assumptions for estimating the data and better coordination with countries have resulted in improved estimates of HIV and AIDS. Antiretroviral therapy has led to huge reductions in death and suffering of people with advanced HIV infection. | 2021-08-09 06:23:32 | 2023-06-15 05:05:42 | SH.HIV.ARTC.ZS | 2000-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
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147780 | Incidence of HIV, ages 15-49 (per 1,000 uninfected population ages 15-49) | % of uninfected population ages 15-49 | Number of new HIV infections among uninfected populations ages 15-49 expressed per 1,000 uninfected population in the year before the period. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data. | 2021-08-09 06:23:32 | 2023-06-15 05:05:42 | SH.HIV.INCD.ZS | 1990-2019 | World Development Indicators - World Bank (2021.07.30) 5357 | UNAIDS (via World Bank) 18140 | % | {} |
0 | {} |
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");