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Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers

Tijuana, Mexico, has a concentrated HIV epidemic among overlapping key populations (KPs) including people who inject drugs (PWID), female sex workers (FSW), their male clients, and men who have sex with men (MSM). We developed a dynamic HIV transmission model among these KPs to determine the extent...

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Autores principales: Fraser, Hannah, Borquez, Annick, Stone, Jack, Abramovitz, Daniela, Brouwer, Kimberly C., Goodman-Meza, David, Hickman, Matthew, Patterson, Thomas L., Silverman, Jay, Smith, Laramie, Strathdee, Steffanie A., Martin, Natasha K., Vickerman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560668/
https://www.ncbi.nlm.nih.gov/pubmed/34216285
http://dx.doi.org/10.1007/s10461-021-03361-2
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author Fraser, Hannah
Borquez, Annick
Stone, Jack
Abramovitz, Daniela
Brouwer, Kimberly C.
Goodman-Meza, David
Hickman, Matthew
Patterson, Thomas L.
Silverman, Jay
Smith, Laramie
Strathdee, Steffanie A.
Martin, Natasha K.
Vickerman, Peter
author_facet Fraser, Hannah
Borquez, Annick
Stone, Jack
Abramovitz, Daniela
Brouwer, Kimberly C.
Goodman-Meza, David
Hickman, Matthew
Patterson, Thomas L.
Silverman, Jay
Smith, Laramie
Strathdee, Steffanie A.
Martin, Natasha K.
Vickerman, Peter
author_sort Fraser, Hannah
collection PubMed
description Tijuana, Mexico, has a concentrated HIV epidemic among overlapping key populations (KPs) including people who inject drugs (PWID), female sex workers (FSW), their male clients, and men who have sex with men (MSM). We developed a dynamic HIV transmission model among these KPs to determine the extent to which their unmet prevention and treatment needs is driving HIV transmission. Over 2020–2029 we estimated the proportion of new infections acquired in each KP, and the proportion due to their unprotected risk behaviours. We estimate that 43.7% and 55.3% of new infections are among MSM and PWID, respectively, with FSW and their clients making-up < 10% of new infections. Projections suggest 93.8% of new infections over 2020–2029 will be due to unprotected sex between MSM or unsafe injecting drug use. Prioritizing interventions addressing sexual and injecting risks among MSM and PWID are critical to controlling HIV in Tijuana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10461-021-03361-2.
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spelling pubmed-85606682021-11-15 Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers Fraser, Hannah Borquez, Annick Stone, Jack Abramovitz, Daniela Brouwer, Kimberly C. Goodman-Meza, David Hickman, Matthew Patterson, Thomas L. Silverman, Jay Smith, Laramie Strathdee, Steffanie A. Martin, Natasha K. Vickerman, Peter AIDS Behav Original Paper Tijuana, Mexico, has a concentrated HIV epidemic among overlapping key populations (KPs) including people who inject drugs (PWID), female sex workers (FSW), their male clients, and men who have sex with men (MSM). We developed a dynamic HIV transmission model among these KPs to determine the extent to which their unmet prevention and treatment needs is driving HIV transmission. Over 2020–2029 we estimated the proportion of new infections acquired in each KP, and the proportion due to their unprotected risk behaviours. We estimate that 43.7% and 55.3% of new infections are among MSM and PWID, respectively, with FSW and their clients making-up < 10% of new infections. Projections suggest 93.8% of new infections over 2020–2029 will be due to unprotected sex between MSM or unsafe injecting drug use. Prioritizing interventions addressing sexual and injecting risks among MSM and PWID are critical to controlling HIV in Tijuana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10461-021-03361-2. Springer US 2021-07-03 2021 /pmc/articles/PMC8560668/ /pubmed/34216285 http://dx.doi.org/10.1007/s10461-021-03361-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Fraser, Hannah
Borquez, Annick
Stone, Jack
Abramovitz, Daniela
Brouwer, Kimberly C.
Goodman-Meza, David
Hickman, Matthew
Patterson, Thomas L.
Silverman, Jay
Smith, Laramie
Strathdee, Steffanie A.
Martin, Natasha K.
Vickerman, Peter
Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title_full Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title_fullStr Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title_full_unstemmed Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title_short Overlapping Key Populations and HIV Transmission in Tijuana, Mexico: A Modelling Analysis of Epidemic Drivers
title_sort overlapping key populations and hiv transmission in tijuana, mexico: a modelling analysis of epidemic drivers
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8560668/
https://www.ncbi.nlm.nih.gov/pubmed/34216285
http://dx.doi.org/10.1007/s10461-021-03361-2
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