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Estimating the contribution of key populations towards HIV transmission in South Africa
INTRODUCTION: In generalized epidemic settings, there is insufficient understanding of how the unmet HIV prevention and treatment needs of key populations (KPs), such as female sex workers (FSWs) and men who have sex with men (MSM), contribute to HIV transmission. In such settings, it is typically a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855076/ https://www.ncbi.nlm.nih.gov/pubmed/33533115 http://dx.doi.org/10.1002/jia2.25650 |
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author | Stone, Jack Mukandavire, Christinah Boily, Marie‐Claude Fraser, Hannah Mishra, Sharmistha Schwartz, Sheree Rao, Amrita Looker, Katharine J Quaife, Matthew Terris‐Prestholt, Fern Marr, Alexander Lane, Tim Coetzee, Jenny Gray, Glenda Otwombe, Kennedy Milovanovic, Minja Hausler, Harry Young, Katherine Mcingana, Mfezi Ncedani, Manezi Puren, Adrian Hunt, Gillian Kose, Zamakayise Phaswana‐Mafuya, Nancy Baral, Stefan Vickerman, Peter |
author_facet | Stone, Jack Mukandavire, Christinah Boily, Marie‐Claude Fraser, Hannah Mishra, Sharmistha Schwartz, Sheree Rao, Amrita Looker, Katharine J Quaife, Matthew Terris‐Prestholt, Fern Marr, Alexander Lane, Tim Coetzee, Jenny Gray, Glenda Otwombe, Kennedy Milovanovic, Minja Hausler, Harry Young, Katherine Mcingana, Mfezi Ncedani, Manezi Puren, Adrian Hunt, Gillian Kose, Zamakayise Phaswana‐Mafuya, Nancy Baral, Stefan Vickerman, Peter |
author_sort | Stone, Jack |
collection | PubMed |
description | INTRODUCTION: In generalized epidemic settings, there is insufficient understanding of how the unmet HIV prevention and treatment needs of key populations (KPs), such as female sex workers (FSWs) and men who have sex with men (MSM), contribute to HIV transmission. In such settings, it is typically assumed that HIV transmission is driven by the general population. We estimated the contribution of commercial sex, sex between men, and other heterosexual partnerships to HIV transmission in South Africa (SA). METHODS: We developed the “Key‐Pop Model”; a dynamic transmission model of HIV among FSWs, their clients, MSM, and the broader population in SA. The model was parameterized and calibrated using demographic, behavioural and epidemiological data from national household surveys and KP surveys. We estimated the contribution of commercial sex, sex between men and sex among heterosexual partnerships of different sub‐groups to HIV transmission over 2010 to 2019. We also estimated the efficiency (HIV infections averted per person‐year of intervention) and prevented fraction (% IA) over 10‐years from scaling‐up ART (to 81% coverage) in different sub‐populations from 2020. RESULTS: Sex between FSWs and their paying clients, and between clients with their non‐paying partners contributed 6.9% (95% credibility interval 4.5% to 9.3%) and 41.9% (35.1% to 53.2%) of new HIV infections in SA over 2010 to 2019 respectively. Sex between low‐risk groups contributed 59.7% (47.6% to 68.5%), sex between men contributed 5.3% (2.3% to 14.1%) and sex between MSM and their female partners contributed 3.7% (1.6% to 9.8%). Going forward, the largest population‐level impact on HIV transmission can be achieved from scaling up ART to clients of FSWs (% IA = 18.2% (14.0% to 24.4%) or low‐risk individuals (% IA = 20.6% (14.7 to 27.5) over 2020 to 2030), with ART scale‐up among KPs being most efficient. CONCLUSIONS: Clients of FSWs play a fundamental role in HIV transmission in SA. Addressing the HIV prevention and treatment needs of KPs in generalized HIV epidemics is central to a comprehensive HIV response. |
format | Online Article Text |
id | pubmed-7855076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78550762021-02-05 Estimating the contribution of key populations towards HIV transmission in South Africa Stone, Jack Mukandavire, Christinah Boily, Marie‐Claude Fraser, Hannah Mishra, Sharmistha Schwartz, Sheree Rao, Amrita Looker, Katharine J Quaife, Matthew Terris‐Prestholt, Fern Marr, Alexander Lane, Tim Coetzee, Jenny Gray, Glenda Otwombe, Kennedy Milovanovic, Minja Hausler, Harry Young, Katherine Mcingana, Mfezi Ncedani, Manezi Puren, Adrian Hunt, Gillian Kose, Zamakayise Phaswana‐Mafuya, Nancy Baral, Stefan Vickerman, Peter J Int AIDS Soc Research Articles INTRODUCTION: In generalized epidemic settings, there is insufficient understanding of how the unmet HIV prevention and treatment needs of key populations (KPs), such as female sex workers (FSWs) and men who have sex with men (MSM), contribute to HIV transmission. In such settings, it is typically assumed that HIV transmission is driven by the general population. We estimated the contribution of commercial sex, sex between men, and other heterosexual partnerships to HIV transmission in South Africa (SA). METHODS: We developed the “Key‐Pop Model”; a dynamic transmission model of HIV among FSWs, their clients, MSM, and the broader population in SA. The model was parameterized and calibrated using demographic, behavioural and epidemiological data from national household surveys and KP surveys. We estimated the contribution of commercial sex, sex between men and sex among heterosexual partnerships of different sub‐groups to HIV transmission over 2010 to 2019. We also estimated the efficiency (HIV infections averted per person‐year of intervention) and prevented fraction (% IA) over 10‐years from scaling‐up ART (to 81% coverage) in different sub‐populations from 2020. RESULTS: Sex between FSWs and their paying clients, and between clients with their non‐paying partners contributed 6.9% (95% credibility interval 4.5% to 9.3%) and 41.9% (35.1% to 53.2%) of new HIV infections in SA over 2010 to 2019 respectively. Sex between low‐risk groups contributed 59.7% (47.6% to 68.5%), sex between men contributed 5.3% (2.3% to 14.1%) and sex between MSM and their female partners contributed 3.7% (1.6% to 9.8%). Going forward, the largest population‐level impact on HIV transmission can be achieved from scaling up ART to clients of FSWs (% IA = 18.2% (14.0% to 24.4%) or low‐risk individuals (% IA = 20.6% (14.7 to 27.5) over 2020 to 2030), with ART scale‐up among KPs being most efficient. CONCLUSIONS: Clients of FSWs play a fundamental role in HIV transmission in SA. Addressing the HIV prevention and treatment needs of KPs in generalized HIV epidemics is central to a comprehensive HIV response. John Wiley and Sons Inc. 2021-02-02 /pmc/articles/PMC7855076/ /pubmed/33533115 http://dx.doi.org/10.1002/jia2.25650 Text en © 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Stone, Jack Mukandavire, Christinah Boily, Marie‐Claude Fraser, Hannah Mishra, Sharmistha Schwartz, Sheree Rao, Amrita Looker, Katharine J Quaife, Matthew Terris‐Prestholt, Fern Marr, Alexander Lane, Tim Coetzee, Jenny Gray, Glenda Otwombe, Kennedy Milovanovic, Minja Hausler, Harry Young, Katherine Mcingana, Mfezi Ncedani, Manezi Puren, Adrian Hunt, Gillian Kose, Zamakayise Phaswana‐Mafuya, Nancy Baral, Stefan Vickerman, Peter Estimating the contribution of key populations towards HIV transmission in South Africa |
title | Estimating the contribution of key populations towards HIV transmission in South Africa |
title_full | Estimating the contribution of key populations towards HIV transmission in South Africa |
title_fullStr | Estimating the contribution of key populations towards HIV transmission in South Africa |
title_full_unstemmed | Estimating the contribution of key populations towards HIV transmission in South Africa |
title_short | Estimating the contribution of key populations towards HIV transmission in South Africa |
title_sort | estimating the contribution of key populations towards hiv transmission in south africa |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7855076/ https://www.ncbi.nlm.nih.gov/pubmed/33533115 http://dx.doi.org/10.1002/jia2.25650 |
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