HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.

Antiretroviral therapy (ART) for those infected with HIV can prevent onward transmission of infection, but biological efficacy alone is not enough to guide policy decisions about the role of ART in reducing HIV incidence. Epidemiology, economics, demography, statistics, biology, and mathematical mod...

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Autor principal:	HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R
Acceso en línea:	https://doaj.org/article/f892612cff3446a39df80a08685601d4
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spelling	oai:doaj.org-article:f892612cff3446a39df80a08685601d42021-11-18T05:42:11ZHIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.1549-12771549-167610.1371/journal.pmed.1001259https://doaj.org/article/f892612cff3446a39df80a08685601d42012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22802739/pdf/?tool=EBIhttps://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676Antiretroviral therapy (ART) for those infected with HIV can prevent onward transmission of infection, but biological efficacy alone is not enough to guide policy decisions about the role of ART in reducing HIV incidence. Epidemiology, economics, demography, statistics, biology, and mathematical modelling will be central in framing key decisions in the optimal use of ART. PLoS Medicine, with the HIV Modelling Consortium, has commissioned a set of articles that examine different aspects of HIV treatment as prevention with a forward-looking research agenda. Interlocking themes across these articles are discussed in this introduction. We hope that this article, and others in the collection, will provide a foundation upon which greater collaborations between disciplines will be formed, and will afford deeper insights into the key factors involved, to help strengthen the support for evidence-based decision-making in HIV prevention.HIV Modelling Consortium Treatment as Prevention Editorial Writing GroupPublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 9, Iss 7, p e1001259 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R
spellingShingle	Medicine R HIV Modelling Consortium Treatment as Prevention Editorial Writing Group HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
description	Antiretroviral therapy (ART) for those infected with HIV can prevent onward transmission of infection, but biological efficacy alone is not enough to guide policy decisions about the role of ART in reducing HIV incidence. Epidemiology, economics, demography, statistics, biology, and mathematical modelling will be central in framing key decisions in the optimal use of ART. PLoS Medicine, with the HIV Modelling Consortium, has commissioned a set of articles that examine different aspects of HIV treatment as prevention with a forward-looking research agenda. Interlocking themes across these articles are discussed in this introduction. We hope that this article, and others in the collection, will provide a foundation upon which greater collaborations between disciplines will be formed, and will afford deeper insights into the key factors involved, to help strengthen the support for evidence-based decision-making in HIV prevention.
format	article
author	HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
author_facet	HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
author_sort	HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
title	HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
title_short	HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
title_full	HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
title_fullStr	HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
title_full_unstemmed	HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
title_sort	hiv treatment as prevention: models, data, and questions--towards evidence-based decision-making.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/f892612cff3446a39df80a08685601d4
work_keys_str_mv	AT hivmodellingconsortiumtreatmentaspreventioneditorialwritinggroup hivtreatmentaspreventionmodelsdataandquestionstowardsevidencebaseddecisionmaking
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HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.

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