Dennis Ann M, Herbeck Joshua T, Brown Andrew L, Kellam Paul, de Oliveira Tulio, Pillay Deenan, Fraser Christophe, Cohen Myron S
*Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC; †Department of Microbiology, University of Washington, Seattle, WA; ‡Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom; §Wellcome Trust Sanger Institute, Cambridge, United Kingdom; ‖Division of Infection and Immunity, University College London, London, United Kingdom; ¶Wellcome Trust-Africa Centre for Health and Population Studies, University of Kwazula-Natal, ZA; and #Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
J Acquir Immune Defic Syndr. 2014 Oct 1;67(2):181-95. doi: 10.1097/QAI.0000000000000271.
Efficient and effective HIV prevention measures for generalized epidemics in sub-Saharan Africa have not yet been validated at the population level. Design and impact evaluation of such measures requires fine-scale understanding of local HIV transmission dynamics. The novel tools of HIV phylogenetics and molecular epidemiology may elucidate these transmission dynamics. Such methods have been incorporated into studies of concentrated HIV epidemics to identify proximate and determinant traits associated with ongoing transmission. However, applying similar phylogenetic analyses to generalized epidemics, including the design and evaluation of prevention trials, presents additional challenges. Here we review the scope of these methods and present examples of their use in concentrated epidemics in the context of prevention. Next, we describe the current uses for phylogenetics in generalized epidemics and discuss their promise for elucidating transmission patterns and informing prevention trials. Finally, we review logistic and technical challenges inherent to large-scale molecular epidemiological studies of generalized epidemics and suggest potential solutions.
撒哈拉以南非洲地区针对广泛流行的艾滋病病毒(HIV)的高效预防措施尚未在人群层面得到验证。此类措施的设计和影响评估需要对当地HIV传播动态有精细的了解。HIV系统发育学和分子流行病学的新工具可能有助于阐明这些传播动态。这些方法已被纳入针对集中流行的HIV疫情的研究中,以识别与持续传播相关的直接和决定性特征。然而,将类似的系统发育分析应用于广泛流行的疫情,包括预防试验的设计和评估,会带来额外的挑战。在此,我们回顾这些方法的范围,并给出它们在预防背景下用于集中流行疫情的示例。接下来,我们描述系统发育学在广泛流行疫情中的当前应用,并讨论它们在阐明传播模式和为预防试验提供信息方面的前景。最后,我们回顾广泛流行疫情的大规模分子流行病学研究中固有的后勤和技术挑战,并提出潜在的解决方案。