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Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China

OBJECTIVE: To project the HIV/AIDS epidemics among men who have sex with men (MSM) under different combinations of HIV testing and linkage to care (TLC) interventions including antiretroviral therapy (ART) in Beijing, China. DESIGN: Mathematical modeling. METHODS: Using a mathematical model to fit p...

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Autores principales: Lou, Jie, Blevins, Meridith, Ruan, Yuhua, Vermund, Sten H., Tang, Sanyi, Webb, Glenn F., Shepherd, Bryan E., He, Xiong, Lu, Hongyan, Shao, Yiming, Qian, Han-Zhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953201/
https://www.ncbi.nlm.nih.gov/pubmed/24626165
http://dx.doi.org/10.1371/journal.pone.0090985
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author Lou, Jie
Blevins, Meridith
Ruan, Yuhua
Vermund, Sten H.
Tang, Sanyi
Webb, Glenn F.
Shepherd, Bryan E.
He, Xiong
Lu, Hongyan
Shao, Yiming
Qian, Han-Zhu
author_facet Lou, Jie
Blevins, Meridith
Ruan, Yuhua
Vermund, Sten H.
Tang, Sanyi
Webb, Glenn F.
Shepherd, Bryan E.
He, Xiong
Lu, Hongyan
Shao, Yiming
Qian, Han-Zhu
author_sort Lou, Jie
collection PubMed
description OBJECTIVE: To project the HIV/AIDS epidemics among men who have sex with men (MSM) under different combinations of HIV testing and linkage to care (TLC) interventions including antiretroviral therapy (ART) in Beijing, China. DESIGN: Mathematical modeling. METHODS: Using a mathematical model to fit prevalence estimates from 2000–2010, we projected trends in HIV prevalence and incidence during 2011–2020 under five scenarios: (S1) current intervention levels by averaging 2000–2010 coverage; (S2) increased ART coverage with current TLC; (S3) increased TLC/ART coverage; (S4) increased condom use; and (S5) increased TLC/ART plus increased condom use. RESULTS: The basic reproduction number based upon the current level of interventions is significantly higher than 1 ([Image: see text] confidence interval (CI), 1.83–2.35), suggesting that the HIV epidemic will continue to increase to 2020. Compared to the 2010 prevalence of 7.8%, the projected HIV prevalence in 2020 for the five prevention scenarios will be: (S1) Current coverage: 21.4% (95% CI, 9.9–31.7%); (S2) Increased ART: 19.9% (95% CI, 9.9–28.4%); (S3) Increased TLC/ART: 14.5% (95% CI, 7.0–23.8%); (S4) Increased condom use: 13.0% (95% CI, 9.8–28.4%); and (S5) Increased TLC/ART and condom use: 8.7% (95% CI, 5.4–11.5%). HIV epidemic will continue to rise ([Image: see text]) for S1–S4 even with hyperbolic coverage in the sensitivity analysis, and is expected to decline ([Image: see text]) for S5. CONCLUSION: Our transmission model suggests that Beijing MSM will have a rapidly rising HIV epidemic. Even enhanced levels of TLC/ART will not interrupt epidemic expansion, despite optimistic assumptions for coverage. Promoting condom use is a crucial component of combination interventions.
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spelling pubmed-39532012014-03-18 Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China Lou, Jie Blevins, Meridith Ruan, Yuhua Vermund, Sten H. Tang, Sanyi Webb, Glenn F. Shepherd, Bryan E. He, Xiong Lu, Hongyan Shao, Yiming Qian, Han-Zhu PLoS One Research Article OBJECTIVE: To project the HIV/AIDS epidemics among men who have sex with men (MSM) under different combinations of HIV testing and linkage to care (TLC) interventions including antiretroviral therapy (ART) in Beijing, China. DESIGN: Mathematical modeling. METHODS: Using a mathematical model to fit prevalence estimates from 2000–2010, we projected trends in HIV prevalence and incidence during 2011–2020 under five scenarios: (S1) current intervention levels by averaging 2000–2010 coverage; (S2) increased ART coverage with current TLC; (S3) increased TLC/ART coverage; (S4) increased condom use; and (S5) increased TLC/ART plus increased condom use. RESULTS: The basic reproduction number based upon the current level of interventions is significantly higher than 1 ([Image: see text] confidence interval (CI), 1.83–2.35), suggesting that the HIV epidemic will continue to increase to 2020. Compared to the 2010 prevalence of 7.8%, the projected HIV prevalence in 2020 for the five prevention scenarios will be: (S1) Current coverage: 21.4% (95% CI, 9.9–31.7%); (S2) Increased ART: 19.9% (95% CI, 9.9–28.4%); (S3) Increased TLC/ART: 14.5% (95% CI, 7.0–23.8%); (S4) Increased condom use: 13.0% (95% CI, 9.8–28.4%); and (S5) Increased TLC/ART and condom use: 8.7% (95% CI, 5.4–11.5%). HIV epidemic will continue to rise ([Image: see text]) for S1–S4 even with hyperbolic coverage in the sensitivity analysis, and is expected to decline ([Image: see text]) for S5. CONCLUSION: Our transmission model suggests that Beijing MSM will have a rapidly rising HIV epidemic. Even enhanced levels of TLC/ART will not interrupt epidemic expansion, despite optimistic assumptions for coverage. Promoting condom use is a crucial component of combination interventions. Public Library of Science 2014-03-13 /pmc/articles/PMC3953201/ /pubmed/24626165 http://dx.doi.org/10.1371/journal.pone.0090985 Text en © 2014 Lou et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lou, Jie
Blevins, Meridith
Ruan, Yuhua
Vermund, Sten H.
Tang, Sanyi
Webb, Glenn F.
Shepherd, Bryan E.
He, Xiong
Lu, Hongyan
Shao, Yiming
Qian, Han-Zhu
Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title_full Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title_fullStr Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title_full_unstemmed Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title_short Modeling the Impact on HIV Incidence of Combination Prevention Strategies among Men Who Have Sex with Men in Beijing, China
title_sort modeling the impact on hiv incidence of combination prevention strategies among men who have sex with men in beijing, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953201/
https://www.ncbi.nlm.nih.gov/pubmed/24626165
http://dx.doi.org/10.1371/journal.pone.0090985
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