Department of Infectious Disease Epidemiology, Imperial College London, St Mary's Campus, London, England.
Bull World Health Organ. 2012 Nov 1;90(11):831-838A. doi: 10.2471/BLT.12.102574. Epub 2012 Sep 14.
The modes of transmission model has been widely used to help decision-makers target measures for preventing human immunodeficiency virus (HIV) infection. The model estimates the number of new HIV infections that will be acquired over the ensuing year by individuals in identified risk groups in a given population using data on the size of the groups, the aggregate risk behaviour in each group, the current prevalence of HIV infection among the sexual or injecting drug partners of individuals in each group, and the probability of HIV transmission associated with different risk behaviours. The strength of the model is its simplicity, which enables data from a variety of sources to be synthesized, resulting in better characterization of HIV epidemics in some settings. However, concerns have been raised about the assumptions underlying the model structure, about limitations in the data available for deriving input parameters and about interpretation and communication of the model results. The aim of this review was to improve the use of the model by reassessing its paradigm, structure and data requirements. We identified key questions to be asked when conducting an analysis and when interpreting the model results and make recommendations for strengthening the model's application in the future.
传播模式已被广泛用于帮助决策者针对特定人群中特定风险群体的预防人类免疫缺陷病毒 (HIV) 感染措施。该模型利用各风险群体的规模、各群体中的综合风险行为、各群体中个人性伴或注射毒品伙伴中 HIV 感染的当前流行率,以及与不同风险行为相关的 HIV 传播概率等数据,估计未来一年内特定人群中特定风险群体中个体新感染 HIV 的数量。该模型的优势在于其简单性,可综合利用各种来源的数据,从而更好地描述某些情况下的 HIV 流行情况。但是,人们对模型结构的假设、推导输入参数所使用数据的局限性以及模型结果的解释和交流表示担忧。本综述旨在通过重新评估模型的范例、结构和数据要求来改进模型的使用。我们确定了进行分析和解释模型结果时需要提出的关键问题,并就如何加强模型在未来的应用提出了建议。