This indicator is part of the Global AIDS Monitoring, the reporting framework for monitoring the 2016 Political Declaration on Ending AIDS. For more information, please see: https://indicatorregistry.unaids.org/indicator/hiv-prevalence-among-key-populations-e

The data is contained in the Sources folder.

Most of the data is taken from: - https://aidsinfo.unaids.org/ - https://data.unicef.org/

Data from https://aidsinfo.unaids.org is difficult to link to as the site doesn't have specific route to each dataset. Luckily, the data that's downloaded has hints on how to traverse the site.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2Fd1cabe1f9a6a8657dbe11b1836413e3c%2Faidsinfo_main_page_arrow.png?generation=1692973942057610&alt=media" alt="">

This is how the site looks like when you go to https://aidsinfo.unaids.org. Click on FACT SHEET.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2F143099f4620515b5ebc9ebba42643cc0%2Faidsinfo_main_page_arrow.png?generation=1692974180021035&alt=media" alt="">

After click on FACT SHEET, this is what will be displayed. Click on Data Sheet.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2Fc680905f0904d5be0e8020a945777379%2Fafter_data_sheet.png?generation=1692974755483770&alt=media" alt="">

This is the layout of the Data Sheet page.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2F70b75f278ed2fa31e8aa3f96f8c29653%2Fafter_data_sheet_highlight_title.png?generation=1692974923444865&alt=media" alt="">

For convenience, this part we will call the category.

And for the next level of indentation, we call it the main data sheet

Data from AIDSinfo will come in this naming convention. category_*main data sheet*.csv

For instance, the category and main data sheet that was selected in the picture would be Epidemic transition metrics and Trend of new HIV infections respectively therefore, the .csv file would look like *"Epidemic transition metrics_Trend of new HIV infections.csv"

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2F6ce40a251095951af3123636ec14e720%2Fproof.png?generation=1692975538382263&alt=media" alt="">

And this is indeed what the file name is.

This gives a systematic way to find the source data in https://aidsinfo.unaids.org given the source code.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16312831%2F31ec853ba1542cd9368986b36df6adaa%2Fwhere_t...

Dataset Overview

The dataset provides a comprehensive look at HIV/AIDS adult prevalence rates, the number of people living with HIV, and annual deaths across different countries. It is based on publicly available data sources such as the CIA World Factbook, UNAIDS AIDS Info, and other global health organizations. The dataset primarily focuses on adult HIV prevalence (ages 15–49) and includes estimates from recent years (e.g., 2023–2024).

Data Science Applications

This dataset can be used for: - Epidemiological Analysis: Understanding the regional distribution of HIV/AIDS and identifying high-prevalence areas. - Predictive Modeling: Developing machine learning models to predict HIV prevalence trends or identify risk factors. - Resource Allocation: Informing policymakers about regions requiring urgent intervention or resource allocation. - Health Outcome Monitoring: Tracking progress in combating HIV/AIDS over time. - Social Determinants Research: Analyzing the relationship between socio-economic factors and HIV prevalence.

Column Descriptors

1. Country/Region: The geographical area being analyzed.
2. Adult Prevalence (%): Percentage of adults aged 15–49 living with HIV.
3. Number of People with HIV/AIDS: Absolute count of individuals living with HIV in the region.
4. Annual Deaths from HIV/AIDS: Number of deaths attributed to HIV/AIDS annually.
5. Year of Estimate: The year when the data was collected or estimated.

Ethically Mined Data

The dataset is ethically sourced from publicly available and credible platforms such as the CIA World Factbook, UNAIDS, and WHO. These organizations ensure transparency and ethical standards in data collection, protecting individual privacy while providing aggregate statistics for research purposes.

Acknowledgments

1. Data Source Platforms:
   • CIA World Factbook
   • UNAIDS AIDS Info
   • WHO Global Health Observatory
2. Dataset Visualization Image:
   • Created using DALL-E 3 for illustrative purposes.
3. Research Support:
   • Contributions from platforms like ResearchGate, NIMH, and others for insights into data science applications in HIV research.

This dataset serves as a valuable tool for researchers, policymakers, and public health professionals in addressing the global challenge of HIV/AIDS.

The AIDS epidemic has put a spotlight on the many fault lines in society. Where there are inequalities, power imbalances, violence, marginalization, taboos and stigma and discrimination, HIV takes hold. This edition of UNAIDS data shows the results of some of those successes, but also the challenges that remain. It contains the very latest data on the world’s response to HIV, consolidating a small part of the huge volume of data collected, analysed and re ned by UNAIDS over the years.

This indicator is part of the Global AIDS Monitoring, the reporting framework for monitoring the 2016 Political Declaration on Ending AIDS. For more information, please see: https://indicatorregistry.unaids.org/indicator/hiv-prevalence-among-key-populations-e

AIDS estimated deaths (UNAIDS estimates) in Ukraine was reported at 2800 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ukraine - AIDS estimated deaths (UNAIDS estimates) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Haiti HT: Net Official Flows from UN Agencies: UNAIDS data was reported at 1.220 USD mn in 2016. This records an increase from the previous number of 0.910 USD mn for 2015. Haiti HT: Net Official Flows from UN Agencies: UNAIDS data is updated yearly, averaging 0.935 USD mn from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 1.450 USD mn in 2007 and a record low of 0.290 USD mn in 2006. Haiti HT: Net Official Flows from UN Agencies: UNAIDS data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor).). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), , United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), Wolrd Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), and International Labour Organization (ILO). Data are in current U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

Actual value and historical data chart for Tanzania Aids Estimated Deaths Unaids Estimates

Traffic analytics, rankings, and competitive metrics for unaids.org as of September 2025

Chile CL: Net Official Flows from UN Agencies: UNAIDS data was reported at 0.012 USD mn in 2017. This records an increase from the previous number of 0.001 USD mn for 2016. Chile CL: Net Official Flows from UN Agencies: UNAIDS data is updated yearly, averaging 0.100 USD mn from Dec 2005 (Median) to 2017, with 12 observations. The data reached an all-time high of 0.350 USD mn in 2010 and a record low of 0.001 USD mn in 2016. Chile CL: Net Official Flows from UN Agencies: UNAIDS data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chile – Table CL.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO), United Nations Institute for Disarmament Research (UNIDIR), United Nations Capital Development Fund (UNCDF), WHO-Strategic Preparedness and Response Plan (SPRP), United Nations Women (UNWOMEN), Covid-19 Response and Recovery Multi-Partner Trust Fund (UNCOVID), Joint Sustainable Development Goals Fund (SDGFUND), Central Emergency Response Fund (CERF), WTO-International Trade Centre (WTO-ITC), United National Conference on Trade and Development (UNCTAD), and United Nations Industrial Development Organization (UNIDO). Data are in current U.S. dollars.;Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://data-explorer.oecd.org/.;Sum;

Argentina AR: Net Official Flows from UN Agencies: UNAIDS data was reported at 0.003 USD mn in 2022. This records a decrease from the previous number of 0.675 USD mn for 2019. Argentina AR: Net Official Flows from UN Agencies: UNAIDS data is updated yearly, averaging 0.623 USD mn from Dec 2005 (Median) to 2022, with 16 observations. The data reached an all-time high of 0.890 USD mn in 2008 and a record low of 0.003 USD mn in 2022. Argentina AR: Net Official Flows from UN Agencies: UNAIDS data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO), United Nations Institute for Disarmament Research (UNIDIR), United Nations Capital Development Fund (UNCDF), WHO-Strategic Preparedness and Response Plan (SPRP), United Nations Women (UNWOMEN), Covid-19 Response and Recovery Multi-Partner Trust Fund (UNCOVID), Joint Sustainable Development Goals Fund (SDGFUND), Central Emergency Response Fund (CERF), WTO-International Trade Centre (WTO-ITC), United National Conference on Trade and Development (UNCTAD), and United Nations Industrial Development Organization (UNIDO). Data are in current U.S. dollars.;Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://data-explorer.oecd.org/.;Sum;

Data Dictionary JANUARY, 2020 Gender Inequality & HIV/AIDS

Country The country the data corresponds to.The data is a subset of UNICEF’s ‘Key HIV epidemiology indicators for children and adolescents aged 10-19, 1990-2019.’This UNICEF data is sourced from UNAIDS 2020 estimates, which provide ‘modeled estimates using the best available epidemiological and programmatic data to track the HIV epidemic’. Modeled estimates are used because counting the true numbers would require regularly testing entire populations for HIV, and investigating all deaths, which is ‘logistically impossible and ethically problematic.’ For more information on the methodology behind these estimates, see the full UNAIDS 2020 report.

UNICEF Region The region the country belongs to - this dataset includes countries from Eastern & Southern Africa, and West & Central Africa.

Year The year the estimates corresponds to.

Sex Whether the estimates refer to men or women.

Age The age group that the estimates refer to - this dataset contains only estimates for adolescent women and men between the ages of 10-19.

Estimated incidence rate of new HIV infection per 1000 uninfected population The estimated number of new HIV infections, for every 1000 uninfected people in the relevant group. Note - some fields were displayed as ‘<0.01’ in the original data, however these have been rounded up to 0.01 in order to make the field numeric.

Estimated number of annual AIDS related deaths The estimated number of annual AIDS related deaths in the relevant group, to the nearest 100. Note - in the original data, values below 500 were split into the following groups; <500, <200, and <100. To make the field numeric, these have been rounded to 500, 200, and 100 respectively.

Estimated number of annual new HIV infections The estimated number of new annual HIV infections in the relevant group. Note - in the original data, values below 500 were split into the following groups; <500, <200, and <100. To make the field numeric, these have been rounded to 500, 200, and 100 respectively.

The estimated number of people living with HIV in the relevant group. Note - in the original data, values below 500 were split into the following groups; <500, <200, and <100. To make the field numeric, these have been rounded to 500, 200, and 100 respectively.

Estimated rate of annual AIDS related deaths per 100,000 population The estimated number of annual AIDS related deaths, for every 100,000 people in the relevant group. Note - some fields were displayed as ‘<0.01’ in the original data, however these have been rounded up to 0.01 in order to make the field numeric.

Data Source: UNICEF ‘Key HIV epidemiology indicators for children and adolescents aged 10-19, 1990-2019

AIDS estimated deaths (UNAIDS estimates) in Indonesia was reported at 26000 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - AIDS estimated deaths (UNAIDS estimates) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Background: The Investment Framework Enhanced (IFE) proposed in 2013 by the Joint United Nations Programme on HIV/AIDS (UNAIDS) explored how maximizing existing interventions and adding emerging prevention options, including a vaccine, could further reduce new HIV infections and AIDS-related deaths in low- and middle-income countries (LMICs). This article describes additional modeling which looks more closely at the potential health impact and cost-effectiveness of AIDS vaccination in LMICs as part of UNAIDS IFE. Methods: An epidemiological model was used to explore the potential impact of AIDS vaccination in LMICs in combination with other interventions through 2070. Assumptions were based on perspectives from research, vaccination and public health experts, as well as observations from other HIV/AIDS interventions and vaccination programs. Sensitivity analyses varied vaccine efficacy, duration of protection, coverage, and cost. Results: If UNAIDS IFE goals were fully achieved, new ann...

Costa Rica CR: Net Official Flows from UN Agencies: UNAIDS data was reported at 0.024 USD mn in 2017. This records an increase from the previous number of 0.003 USD mn for 2016. Costa Rica CR: Net Official Flows from UN Agencies: UNAIDS data is updated yearly, averaging 0.020 USD mn from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 0.120 USD mn in 2007 and a record low of 0.003 USD mn in 2016. Costa Rica CR: Net Official Flows from UN Agencies: UNAIDS data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), World Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), International Labour Organization (ILO), United Nations Environment Programme (UNEP), World Tourism Organization (UNWTO), United Nations Institute for Disarmament Research (UNIDIR), United Nations Capital Development Fund (UNCDF), WHO-Strategic Preparedness and Response Plan (SPRP), United Nations Women (UNWOMEN), Covid-19 Response and Recovery Multi-Partner Trust Fund (UNCOVID), Joint Sustainable Development Goals Fund (SDGFUND), Central Emergency Response Fund (CERF), WTO-International Trade Centre (WTO-ITC), United National Conference on Trade and Development (UNCTAD), and United Nations Industrial Development Organization (UNIDO). Data are in current U.S. dollars.;Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: https://data-explorer.oecd.org/.;Sum;

Unaids Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Trinidad and Tobago TT: Net Official Flows from UN Agencies: UNAIDS data was reported at 0.140 USD mn in 2010. This records a decrease from the previous number of 0.390 USD mn for 2009. Trinidad and Tobago TT: Net Official Flows from UN Agencies: UNAIDS data is updated yearly, averaging 0.340 USD mn from Dec 2005 (Median) to 2010, with 6 observations. The data reached an all-time high of 1.940 USD mn in 2007 and a record low of 0.100 USD mn in 2005. Trinidad and Tobago TT: Net Official Flows from UN Agencies: UNAIDS data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank.WDI: Defense and Official Development Assistance. Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total disbursements by the official sector at large to the recipient country. Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. OOF are transactions by the official sector whose main objective is other than development-motivated, or, if development-motivated, whose grant element is below the 25 per cent threshold which would make them eligible to be recorded as ODA. The main classes of transactions included here are official export credits, official sector equity and portfolio investment, and debt reorganization undertaken by the official sector at nonconcessional terms (irrespective of the nature or the identity of the original creditor).). UN agencies are United Nations includes the United Nations Children’s Fund (UNICEF), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), World Food Programme (WFP), International Fund for Agricultural Development (IFAD), United Nations Development Programme(UNDP), United Nations Population Fund (UNFPA), United Nations Refugee Agency (UNHCR), Joint United Nations Programme on HIV/AIDS (UNAIDS), United Nations Regular Programme for Technical Assistance (UNTA), , United Nations Peacebuilding Fund (UNPBF), International Atomic Energy Agency (IAEA), Wolrd Health Organization (WHO), United Nations Economic Commission for Europe (UNECE), Food and Agriculture Organization of the United Nations (FAO), and International Labour Organization (ILO). Data are in current U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

BackgroundHuman Immunodeficiency Virus (HIV) significantly affects adolescents globally, with the sub-Saharan Africa (SSA) reporting a high burden of the disease. HIV testing, treatment, and retention to care are low among adolescents. We conducted a mixed-method systematic review to assess anti-retroviral therapy (ART) adherence; barriers and facilitators to ART adherence and ART outcomes among adolescents living with HIV and on ART in sub-Saharan Africa.MethodsWe conducted searches in four scientific databases for studies conducted between 2010 and March 2022 to identify relevant primary studies. Studies were screened against inclusion criteria and assessed for quality, and data was extracted. Meta-analysis of rates and odd ratios was used to plot the quantitative studies and meta-synthesis summarized the evidence from qualitative studies.ResultsA total of 10 431 studies were identified and screened against the inclusion/ exclusion criteria. Sixty-six studies met the inclusion criteria (41 quantitative, 16 qualitative, and 9 mixed-methods study designs). Fifty-three thousand two hundred and seventeen (53 217) adolescents (52 319 in quantitative studies and 899 in qualitative studies) were included in the review. Thirteen support focused interventions for improved ART adherence were identified from quantitative studies. The plotted results from the meta-analysis found an ART adherence rate of 65% (95%CI 56–74), viral load suppression was 55% (95%CI 46–64), un-suppressed viral load rate of 41% (95%CI 32–50), and loss to follow up of 17% (95%CI 10–24) among adolescents. Meta-synthesis found six themes of barriers to ART (social, patient-based, economic, health system-based, therapy-based, and cultural barriers) in both the qualitative and quantitative studies, and three themes of facilitators to ART were also identified (social support, counselling, and ART education and secrecy or confidentiality) from qualitative studies.ConclusionART adherence remains low among adolescents in SSA despite multiple interventions implemented to improve ART adherence. The low adherence rate may hinder the attainment of the UNAIDS 2030 targets. Additionally, various barriers to ART adherence due to lack of support have been reported among this age group. However, interventions aimed at improving social support, educating, and counselling adolescents may improve and sustain ART adherence.Trial registrationSystematic review registration: PROSPERO CRD42021284891.

Managing data is hard. So many of our partner institutions are under-resourced when it comes to preparing, archiving, sharing and interpreting HIV-related datasets. Crucial datasets often sit on the laptops of local staff in Excel sheets and Word documents, or in large locked-down data warehouses where only a few have the understanding to access it. But data is useless if is not accessible by trusted parties for analysis. UNAIDS has identified the following challenges faced by our local partners: Administrative burden of data management Equipment failure Staff turnover Duplication of requests for data Secure sharing of data Keeping data up-to-date A new software project has been established to tackle these challenges and streamline the data management process... The AIDS Data Repository aims to improve the quality, accessibility and consistency of HIV data and HIV estimates by providing a centralised platform with tools to help countries manage and share their HIV data. The project includes the following features: Schema-based dataset management will help local staff with the process of preparing, validating and archiving key datasets according to the requirements from UNAIDS. Schemas that are designed or approved by UNAIDS determine the design of web forms and validation tools that guide users through the process of uploading essential data. Secure and licensed dataset sharing will give partners confidence that their data should only be used by the parties they trust for the purposes they have agreed. Data access management tools will help organisations understand who has access to use their datasets. Access can be requested, reviewed and granted through the site, but also revoked. This can be done for individual users or for entire organisations. Cloud based archiving and backup of all datasets means that data will not go missing when equipment fails or staff leave. All datasets can be tagged and searched according to their metadata and will be reliably accessible forever. DHIS2 interoperability will enable administrators to share DHIS2 data with all the features and tools provided by the AIDS data repository. Datasets comprising elements automatically pulled from a DHIS2 instance can be added to the site. Periodic pulling of data will ensure that these datasets do not fall out of date. Web-based tools will help administrators configure and monitor the DHIS2 configuration that will likely change over time. Spectrum/Naomi interoperability will streamline the process of preparing and running the Spectrum and HIVE statistical models that are supported by UNAIDS. Web forms and validation tools guide users through the process of preparing the source data sets. These source data sets can then be automatically pulled into the Spectrum and Naomi statistical modelling software tools, which will return the results to the AIDS Data Repository once finished.

Tools, data and results from chapter 3 of the report 'A review of country-level HIV planning and resource allocation tools and processes: the development of National Strategic Plans and their links to Global Fund applications' by Paul Revill, Sakshi Mohan, Simon Walker, Jeff Eaton, Cindy Carlson, Gemma Oberth, Fern Terris-Prestholt, Iris Semini.