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HIV Treatment as Prevention: Models, Data, and Questions—Towards Evidence-Based Decision-Making

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  • The HIV Modelling Consortium Treatment as Prevention Editorial Writing Group

Abstract

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.

Suggested Citation

  • The HIV Modelling Consortium Treatment as Prevention Editorial Writing Group, 2012. "HIV Treatment as Prevention: Models, Data, and Questions—Towards Evidence-Based Decision-Making," PLOS Medicine, Public Library of Science, vol. 9(7), pages 1-8, July.
    • Handle: RePEc:plo:pmed00:1001259
    DOI: 10.1371/journal.pmed.1001259
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    Cited by:

    1. Ganna Rozhnova & Maarten F Schim van der Loeff & Janneke C M Heijne & Mirjam E Kretzschmar, 2016. "Impact of Heterogeneity in Sexual Behavior on Effectiveness in Reducing HIV Transmission with Test-and-Treat Strategy," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-20, August.
    2. Hausken, Kjell & Ncube, Mthuli, 2015. "Policy-Makers, the International Community and People Living with HIV: The Need for New Commitment Mechanisms," UiS Working Papers in Economics and Finance 2015/6, University of Stavanger.
    3. Kimberly A Koester & Shane P Collins & Shannon M Fuller & Gabriel R Galindo & Steven Gibson & Wayne T Steward, 2013. "Sexual Healthcare Preferences among Gay and Bisexual Men: A Qualitative Study in San Francisco, California," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-11, August.
    4. Xiao Zang & Houlin Tang & Jeong Eun Min & Diane Gu & Julio S G Montaner & Zunyou Wu & Bohdan Nosyk, 2016. "Cost-Effectiveness of the ‘One4All’ HIV Linkage Intervention in Guangxi Zhuang Autonomous Region, China," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-17, November.
    5. Kjell Hausken & Mthuli Ncube, 2020. "Game theoretic analysis of persons, the pharmaceutical industry, and donors in disease contraction and recovery," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-17, December.

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