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

HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making.
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DOI:
10.1371/journal.pmed.1001259
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发表时间:
2012
期刊:
影响因子:
15.8
通讯作者:
HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
HIV Modelling Consortium Treatment as Prevention Editorial Writing Group
中科院分区:
医学1区
文献类型:
--
作者:
HIV Modelling Consortium Treatment as Prevention Editorial Writing Group

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对艾滋病毒感染者的抗逆转录病毒疗法(ART)可以预防感染的进一步传播,但单凭生物学功效不足以指导关于ART在降低艾滋病毒发病率方面作用的政策决定。流行病学,经济学,人口统计学,统计学,生物学和数学建模将是制定最佳使用ART的关键决策的核心。PLoS Medicine与HIV Modelling Consortium合作,委托撰写了一系列文章,以前瞻性的研究议程来研究HIV治疗的不同方面。这些文章中的相互关联的主题将在本介绍中讨论。我们希望,这篇文章,以及其他收集,将提供一个基础上,更大的学科之间的合作将形成,并将提供更深入的了解所涉及的关键因素,以帮助加强支持艾滋病毒预防的循证决策。
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.
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