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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
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.
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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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