Literature DB >> 33533115

Estimating the contribution of key populations towards HIV transmission in South Africa.

Jack Stone1, Christinah Mukandavire2, Marie-Claude Boily3, Hannah Fraser1, Sharmistha Mishra4, Sheree Schwartz5, Amrita Rao5, Katharine J Looker1, Matthew Quaife6, Fern Terris-Prestholt6, Alexander Marr7, Tim Lane8, Jenny Coetzee9,10, Glenda Gray10, Kennedy Otwombe9, Minja Milovanovic9, Harry Hausler11, Katherine Young11, Mfezi Mcingana11, Manezi Ncedani11, Adrian Puren12, Gillian Hunt12, Zamakayise Kose13, Nancy Phaswana-Mafuya13, Stefan Baral5, Peter Vickerman1.   

Abstract

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.
© 2021 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

Entities:  

Keywords:  clients; female sex workers; key populations; mathematical modelling; men who have sex with men; population attributable fraction

Mesh:

Year:  2021        PMID: 33533115      PMCID: PMC7855076          DOI: 10.1002/jia2.25650

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


  76 in total

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Journal:  Sex Transm Infect       Date:  2013-05-30       Impact factor: 3.519

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8.  HIV pre-exposure prophylaxis and early antiretroviral treatment among female sex workers in South Africa: Results from a prospective observational demonstration project.

Authors:  Robyn Eakle; Gabriela B Gomez; Niven Naicker; Rutendo Bothma; Judie Mbogua; Maria A Cabrera Escobar; Elaine Saayman; Michelle Moorhouse; W D Francois Venter; Helen Rees
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9.  The Incidence Patterns Model to Estimate the Distribution of New HIV Infections in Sub-Saharan Africa: Development and Validation of a Mathematical Model.

Authors:  Annick Bórquez; Anne Cori; Erica L Pufall; Jingo Kasule; Emma Slaymaker; Alison Price; Jocelyn Elmes; Basia Zaba; Amelia C Crampin; Joseph Kagaayi; Tom Lutalo; Mark Urassa; Simon Gregson; Timothy B Hallett
Journal:  PLoS Med       Date:  2016-09-13       Impact factor: 11.069

10.  Estimating the contribution of key populations towards the spread of HIV in Dakar, Senegal.

Authors:  Christinah Mukandavire; Josephine Walker; Sheree Schwartz; Marie-Claude Boily; Leon Danon; Carrie Lyons; Daouda Diouf; Ben Liestman; Nafissatou Leye Diouf; Fatou Drame; Karleen Coly; Remy Serge Manzi Muhire; Safiatou Thiam; Papa Amadou Niang Diallo; Coumba Toure Kane; Cheikh Ndour; Erik Volz; Sharmistha Mishra; Stefan Baral; Peter Vickerman
Journal:  J Int AIDS Soc       Date:  2018-07       Impact factor: 5.396

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