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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...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3393655/ https://www.ncbi.nlm.nih.gov/pubmed/22802739 http://dx.doi.org/10.1371/journal.pmed.1001259 |
_version_ | 1782237742649835520 |
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collection | PubMed |
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 | Online Article Text |
id | pubmed-3393655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-33936552012-07-16 HIV Treatment as Prevention: Models, Data, and Questions—Towards Evidence-Based Decision-Making PLoS Med Review 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. Public Library of Science 2012-07-10 /pmc/articles/PMC3393655/ /pubmed/22802739 http://dx.doi.org/10.1371/journal.pmed.1001259 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. |
spellingShingle | Review HIV Treatment as Prevention: Models, Data, and Questions—Towards Evidence-Based Decision-Making |
title | 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_short | 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 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3393655/ https://www.ncbi.nlm.nih.gov/pubmed/22802739 http://dx.doi.org/10.1371/journal.pmed.1001259 |
work_keys_str_mv | AT hivtreatmentaspreventionmodelsdataandquestionstowardsevidencebaseddecisionmaking |