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What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?

In this work, we estimate the proportions of transmissions occurring in main vs. casual partnerships, and by the sexual role, infection stage, and testing and treatment history of the infected partner, for men who have sex with men (MSM) in the US and Peru. We use dynamic, stochastic models based in...

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Autores principales: Goodreau, Steven M., Carnegie, Nicole B., Vittinghoff, Eric, Lama, Javier R., Sanchez, Jorge, Grinsztejn, Beatriz, Koblin, Beryl A., Mayer, Kenneth H., Buchbinder, Susan P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510067/
https://www.ncbi.nlm.nih.gov/pubmed/23209768
http://dx.doi.org/10.1371/journal.pone.0050522
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author Goodreau, Steven M.
Carnegie, Nicole B.
Vittinghoff, Eric
Lama, Javier R.
Sanchez, Jorge
Grinsztejn, Beatriz
Koblin, Beryl A.
Mayer, Kenneth H.
Buchbinder, Susan P.
author_facet Goodreau, Steven M.
Carnegie, Nicole B.
Vittinghoff, Eric
Lama, Javier R.
Sanchez, Jorge
Grinsztejn, Beatriz
Koblin, Beryl A.
Mayer, Kenneth H.
Buchbinder, Susan P.
author_sort Goodreau, Steven M.
collection PubMed
description In this work, we estimate the proportions of transmissions occurring in main vs. casual partnerships, and by the sexual role, infection stage, and testing and treatment history of the infected partner, for men who have sex with men (MSM) in the US and Peru. We use dynamic, stochastic models based in exponential random graph models (ERGMs), obtaining inputs from multiple large-scale MSM surveys. Parallel main partnership and casual sexual networks are simulated. Each man is characterized by age, race, circumcision status, sexual role behavior, and propensity for unprotected anal intercourse (UAI); his history is modeled from entry into the adult population, with potential transitions including HIV infection, detection, treatment, AIDS diagnosis, and death. We implemented two model variants differing in assumptions about acute infectiousness, and assessed sensitivity to other key inputs. Our two models suggested that only 4–5% (Model 1) or 22–29% (Model 2) of HIV transmission results from contacts with acute-stage partners; the plurality (80–81% and 49%, respectively) stem from chronic-stage partners and the remainder (14–16% and 27–35%, respectively) from AIDS-stage partners. Similar proportions of infections stem from partners whose infection is undiagnosed (24–31%), diagnosed but untreated (36–46%), and currently being treated (30–36%). Roughly one-third of infections (32–39%) occur within main partnerships. Results by country were qualitatively similar, despite key behavioral differences; one exception was that transmission from the receptive to insertive partner appears more important in Peru (34%) than the US (21%). The broad balance in transmission contexts suggests that education about risk, careful assessment, pre-exposure prophylaxis, more frequent testing, earlier treatment, and risk-reduction, disclosure, and adherence counseling may all contribute substantially to reducing the HIV incidence among MSM in the US and Peru.
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spelling pubmed-35100672012-12-03 What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)? Goodreau, Steven M. Carnegie, Nicole B. Vittinghoff, Eric Lama, Javier R. Sanchez, Jorge Grinsztejn, Beatriz Koblin, Beryl A. Mayer, Kenneth H. Buchbinder, Susan P. PLoS One Research Article In this work, we estimate the proportions of transmissions occurring in main vs. casual partnerships, and by the sexual role, infection stage, and testing and treatment history of the infected partner, for men who have sex with men (MSM) in the US and Peru. We use dynamic, stochastic models based in exponential random graph models (ERGMs), obtaining inputs from multiple large-scale MSM surveys. Parallel main partnership and casual sexual networks are simulated. Each man is characterized by age, race, circumcision status, sexual role behavior, and propensity for unprotected anal intercourse (UAI); his history is modeled from entry into the adult population, with potential transitions including HIV infection, detection, treatment, AIDS diagnosis, and death. We implemented two model variants differing in assumptions about acute infectiousness, and assessed sensitivity to other key inputs. Our two models suggested that only 4–5% (Model 1) or 22–29% (Model 2) of HIV transmission results from contacts with acute-stage partners; the plurality (80–81% and 49%, respectively) stem from chronic-stage partners and the remainder (14–16% and 27–35%, respectively) from AIDS-stage partners. Similar proportions of infections stem from partners whose infection is undiagnosed (24–31%), diagnosed but untreated (36–46%), and currently being treated (30–36%). Roughly one-third of infections (32–39%) occur within main partnerships. Results by country were qualitatively similar, despite key behavioral differences; one exception was that transmission from the receptive to insertive partner appears more important in Peru (34%) than the US (21%). The broad balance in transmission contexts suggests that education about risk, careful assessment, pre-exposure prophylaxis, more frequent testing, earlier treatment, and risk-reduction, disclosure, and adherence counseling may all contribute substantially to reducing the HIV incidence among MSM in the US and Peru. Public Library of Science 2012-11-29 /pmc/articles/PMC3510067/ /pubmed/23209768 http://dx.doi.org/10.1371/journal.pone.0050522 Text en © 2012 Goodreau 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
Goodreau, Steven M.
Carnegie, Nicole B.
Vittinghoff, Eric
Lama, Javier R.
Sanchez, Jorge
Grinsztejn, Beatriz
Koblin, Beryl A.
Mayer, Kenneth H.
Buchbinder, Susan P.
What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title_full What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title_fullStr What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title_full_unstemmed What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title_short What Drives the US and Peruvian HIV Epidemics in Men Who Have Sex with Men (MSM)?
title_sort what drives the us and peruvian hiv epidemics in men who have sex with men (msm)?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510067/
https://www.ncbi.nlm.nih.gov/pubmed/23209768
http://dx.doi.org/10.1371/journal.pone.0050522
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