sources: 15125
Data license: CC-BY
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id | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
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15125 | Prevalence of HIV among adults aged 15 to 49 (%) | { "link": "http://apps.who.int/gho/data/node.home", "retrievedDate": "23-March-18", "additionalInfo": "Indicator name\nHIV prevalence among adults aged 15-49 years (%)\n\nName abbreviated\n\n \n\nData Type Representation\nPercent\n\nTopic\nMorbidity\n\nISO Health Indicators Framework\n\n \n\nRationale\nHIV and AIDS has become a major public health problem in many countries and monitoring the course of the epidemic and impact of interventions is crucial. Both the Millennium Development Goals (MDG) and the United Nations General Assembly Special Session on HIV and AIDS (UNGASS) have set goals of reducing HIV prevalence.\n\nDefinition\nThe estimated number of adults aged 15-49 years with HIV infection, whether or not they have developed symptoms of AIDS, expressed as per cent of total population in that age group.\n\nAssociated terms\nHuman Immunodeficiency Virus (HIV) : A\u00a0virus that weakens the immune system, ultimately leading to AIDS, the acquired immunodeficiency syndrome. HIV destroys the body\u2019s ability to fight off infection and disease, which can ultimately lead to death.\n\nPreferred data sources\nHousehold surveys\n\nPreferred data sources\nSurveillance systems\n\nOther possible data sources\n\n \n\nMethod of measurement\nStandardized tools and methods of estimation have been developed by UNAIDS and WHO in collaboration with the UNAIDS Reference Group on Estimation, Modelling and Projections.\n\u00a0\nIn countries with a generalized epidemic, national estimates of HIV prevalence are based on data generated by surveillance systems that focus on pregnant women who attend a selected number of sentinel antenatal clinics, and in an increasing number of countries on nationally representative serosurveys. In countries with a low level or concentrated epidemic national estimates of HIV prevalence are primarily based on surveillance data collected from populations at high risk (sex workers, men who have sex with men, injecting drug users) and estimates of the size of populations at high and low risk. This data is entered into the Estimation and Projection Package (EPP) software\u00a0 which fits a simple epidemiological model to the epidemic structure defined. EPP finds the best fitting curve that describes the evolution of adult HIV prevalence over time, and calibrates that curve based on prevalence found in any national surveys or default values in case there is no national survey available. \nFor countries with very little available prevalence data (less than three consistent surveillance sites) a point prevalence estimate and projection is made using spreadsheet models (the Workbook Method). The resulting point prevalence estimates for several years are entered into EPP to find the best fitting curve that describes the evolution of adult HIV prevalence over time.\n\u00a0\n(http://www.unaids.org/en/KnowledgeCentre/HIVData/Methodology/ , accessed on 2 may 2010)\n\nMethod of estimation\nThe country-specific estimates of adults living with HIV, used as the numerator for this indicator, have been produced by National AIDS Programs and compiled by UNAIDS and WHO. They have been discussed\u00a0 with national AIDS programs for review and comments, but are not necessarily the official estimates used by national governments. For countries where no recent data were available, country-specific estimates have not been listed in the tables. (2008 Report on the Global AIDS epidemics, Annex 1).\n\nPredominant type of statistics: predicted\n\nM&E Framework\nImpact\n\nMethod of estimation of global and regional aggregates\nRegional estimates are weighted averages of the country data, using the number of population aged \u2265 15 years for the reference year in each country as the weight. No figures are reported if less than 50 per cent of the population aged \u2265 15 years in the region are covered.\n\nDisaggregation\nSex\n\nDisaggregation\nLocation (urban/rural)\n\nDisaggregation\nBoundaries : Administrative regions\n\nDisaggregation\nBoundaries : Health regions\n\nUnit of Measure\n\n \n\nUnit Multiplier\n\n \n\nExpected frequency of data dissemination\nBiennial (Two years)\n\nExpected frequency of data collection\n\n \n\nLimitations\n\n \n\nLinks\nHIV/AIDS Data and Statistics (WHO)\n\nLinks\nGlobal HIV/AIDS Online Database (UNAIDS-WHO)\n\nLinks\nMethods and assumptions for HIV estimates (UNAIDS)\n\nLinks\nImproved data, methods and tools for the 2007 HIV and AIDS estimates and projections (Sex Transm Infect, August 2008, Volume 84, Issue Suppl 1 )\n\nLinks\nUNAIDS Report on the global AIDS epidemic\n\nComments\nThe estimates in the 2008 Report on the Global AIDS epidemics are presented together with ranges, which reflect the certainty associated with each of the estimates. The extent of uncertainty depends mainly on the type of epidemic, and the quality, coverage and consistency of a country\u2019s surveillance system and, in generalized epidemics, whether or not a population-based survey with HIV testing was conducted. \n\nThe main indicator proposed for monitoring progress towards achieving the international goals is HIV prevalence among young people aged 15-24 years, which is a better proxy for monitoring HIV incidence.\u00a0 Although countries are moving towards collecting better data on young people, mainly by capturing data on young pregnant women attending antenatal clinics or national population based surveys, comparable data availability is still limited. Analysis of trends on consistent sites have been proposed as a an alternative to tool to assess recent rends and countries have been encouraged to collect report HIV surveillance data by age breakdown.\n\nContact Person\n\n \n\n", "dataPublishedBy": "World Health Organization Global Health Observatory (GHO)", "dataPublisherSource": null } |
2018-03-23 12:43:43 | 2018-03-23 12:43:43 | 2694 | Indicator name HIV prevalence among adults aged 15-49 years (%) Name abbreviated Data Type Representation Percent Topic Morbidity ISO Health Indicators Framework Rationale HIV and AIDS has become a major public health problem in many countries and monitoring the course of the epidemic and impact of interventions is crucial. Both the Millennium Development Goals (MDG) and the United Nations General Assembly Special Session on HIV and AIDS (UNGASS) have set goals of reducing HIV prevalence. Definition The estimated number of adults aged 15-49 years with HIV infection, whether or not they have developed symptoms of AIDS, expressed as per cent of total population in that age group. Associated terms Human Immunodeficiency Virus (HIV) : A virus that weakens the immune system, ultimately leading to AIDS, the acquired immunodeficiency syndrome. HIV destroys the body’s ability to fight off infection and disease, which can ultimately lead to death. Preferred data sources Household surveys Preferred data sources Surveillance systems Other possible data sources Method of measurement Standardized tools and methods of estimation have been developed by UNAIDS and WHO in collaboration with the UNAIDS Reference Group on Estimation, Modelling and Projections. In countries with a generalized epidemic, national estimates of HIV prevalence are based on data generated by surveillance systems that focus on pregnant women who attend a selected number of sentinel antenatal clinics, and in an increasing number of countries on nationally representative serosurveys. In countries with a low level or concentrated epidemic national estimates of HIV prevalence are primarily based on surveillance data collected from populations at high risk (sex workers, men who have sex with men, injecting drug users) and estimates of the size of populations at high and low risk. This data is entered into the Estimation and Projection Package (EPP) software which fits a simple epidemiological model to the epidemic structure defined. EPP finds the best fitting curve that describes the evolution of adult HIV prevalence over time, and calibrates that curve based on prevalence found in any national surveys or default values in case there is no national survey available. For countries with very little available prevalence data (less than three consistent surveillance sites) a point prevalence estimate and projection is made using spreadsheet models (the Workbook Method). The resulting point prevalence estimates for several years are entered into EPP to find the best fitting curve that describes the evolution of adult HIV prevalence over time. (http://www.unaids.org/en/KnowledgeCentre/HIVData/Methodology/ , accessed on 2 may 2010) Method of estimation The country-specific estimates of adults living with HIV, used as the numerator for this indicator, have been produced by National AIDS Programs and compiled by UNAIDS and WHO. They have been discussed with national AIDS programs for review and comments, but are not necessarily the official estimates used by national governments. For countries where no recent data were available, country-specific estimates have not been listed in the tables. (2008 Report on the Global AIDS epidemics, Annex 1). Predominant type of statistics: predicted M&E Framework Impact Method of estimation of global and regional aggregates Regional estimates are weighted averages of the country data, using the number of population aged ≥ 15 years for the reference year in each country as the weight. No figures are reported if less than 50 per cent of the population aged ≥ 15 years in the region are covered. Disaggregation Sex Disaggregation Location (urban/rural) Disaggregation Boundaries : Administrative regions Disaggregation Boundaries : Health regions Unit of Measure Unit Multiplier Expected frequency of data dissemination Biennial (Two years) Expected frequency of data collection Limitations Links HIV/AIDS Data and Statistics (WHO) Links Global HIV/AIDS Online Database (UNAIDS-WHO) Links Methods and assumptions for HIV estimates (UNAIDS) Links Improved data, methods and tools for the 2007 HIV and AIDS estimates and projections (Sex Transm Infect, August 2008, Volume 84, Issue Suppl 1 ) Links UNAIDS Report on the global AIDS epidemic Comments The estimates in the 2008 Report on the Global AIDS epidemics are presented together with ranges, which reflect the certainty associated with each of the estimates. The extent of uncertainty depends mainly on the type of epidemic, and the quality, coverage and consistency of a country’s surveillance system and, in generalized epidemics, whether or not a population-based survey with HIV testing was conducted. The main indicator proposed for monitoring progress towards achieving the international goals is HIV prevalence among young people aged 15-24 years, which is a better proxy for monitoring HIV incidence. Although countries are moving towards collecting better data on young people, mainly by capturing data on young pregnant women attending antenatal clinics or national population based surveys, comparable data availability is still limited. Analysis of trends on consistent sites have been proposed as a an alternative to tool to assess recent rends and countries have been encouraged to collect report HIV surveillance data by age breakdown. Contact Person | http://apps.who.int/gho/data/node.home | World Health Organization Global Health Observatory (GHO) |
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