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 "name": "hv_i202_gl7",
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 "snippet": "Number of new HIV infections per 1,000 uninfected population, by sex, age and key populations, Small island developing States (SIDS), Trend Data",
 "description": "<p><u><strong>Short Name<\/strong><\/u><br>\nNew HIV infections per 1,000 uninfected population<br><\/p>\n<p><u><strong>Full Name<\/strong><\/u><br>\nNumber of new HIV infections per 1,000 uninfected population, by sex, age and key populations<br><\/p>\n<p><u><strong>Domain<\/strong><\/u><br>\nSexual and reproductive health<br><\/p>\n<p><u><strong>Sub-domain<\/strong><\/u><br>\nHIV/AIDS and STIs<br><\/p>\n<p><u><strong>Tags<\/strong><\/u><br>\nLatin America and the Caribbean Key Indicators, Montevideo Consensus, SDG Target 3.3, Strategic Plan<br><\/p>\n<p><u><strong>Definition<\/strong><\/u><br>\nThe number of new HIV infections per 1,000 uninfected population, by sex, age and key populations as defined as the number of new HIV infections per 1,000 persons among the uninfected population.<br><\/p>\n<p><u><strong>Method of Calculation<\/strong><\/u><br>\nLongitudinal data on individuals newly infected with HIV would be the most accurate source of data to measure HIV incidence, however these data are rarely available for representative populations. Special diagnostic tests in surveys or from health facilities can also be used to obtain data on HIV incidence but these require very large samples to accurately estimate HIV incidence and the latter are also rarely representative. HIV incidence is thus modelled using the Spectrum software. The software incorporates data on HIV prevalence, the number of people on treatment, demographics and other relevant indicators to estimate historical HIV incidence, among other indicators. A full description of the model is available in peer-reviewed articles and in the most recent UNAIDS Global AIDS Update Reports.\n<a href=\"https://onlinelibrary.wiley.com/toc/17582652/2021/24/S\">Link<\/a>\n<a href=\"https://www.unaids.org/en/resources/documents/2021/2021-global-aids-updat\">Link<\/a><br><\/p>\n<p><u><strong>Expected Frequency of Data Dissemination<\/strong><\/u><br>\nAnnual<br><\/p>\n<p><u><strong>Geospatial Dimension Availability<\/strong><\/u><br>\nCountry (geolev0), Landlocked developing countries (LLDCs), Least Developed Countries (LDCs), SDG Regions, SDG Sub-Regions, Small island developing States (SIDS), World<br><\/p>\n<p><u><strong>Time Dimension Availability<\/strong><\/u><br>\n2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021<br><\/p>\n<p><u><strong>Disaggregation Dimension Availability<\/strong><\/u><br>\nAge group: <em>15 to 24 years old, 15 to 49 years old, 50 years old and over, Under 15 years old<\/em><br>Sex: <em>Female, Male<\/em><br><\/p>\n<p><u><strong>References<\/strong><\/u><br>\nSDG Indicator 3.3.1 metadata: <a href=\"https://unstats.un.org/sdgs/metadata/files/Metadata-03-03-01.pdf\">Link<\/a><br><\/p>",
 "summary": "Number of new HIV infections per 1,000 uninfected population, by sex, age and key populations, Small island developing States (SIDS), Trend Data",
 "title": "hv_i202_gl7",
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  "Latin America and the Caribbean Key Indicators",
  "Montevideo Consensus",
  "SDG Target 3.3",
  "Strategic Plan"
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