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Peak HIV prevalence: a useful outcome variable for ecological studies

机译:艾滋病毒流行高峰:生态研究的有用结果变量

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A key question for ecological studies with HIV as the outcome variable is what measure of HIV prevalence to use. In this study we compared the strengths and weaknesses of a variety of measures of HIV prevalence, focusing on peak HIV prevalence and HIV prevalence measured at the same time as the exposure variable. We explored the theoretical problems with each of the two measures of HIV prevalence. We then investigated the difference that substituting one variable for the other made to two published ecological studies. One published study found a strong relationship between migration intensity and HIV prevalence measured at the time the migration was measured. When we repeated the analysis using peak HIV prevalence as the outcome variable, there was no evidence of an association. The second study found evidence of a strong relationship between concurrency and peak HIV prevalence. On repetition of the analysis (but utilizing HIV prevalence at the time the concurrency was measured as the outcome variable) there was no longer a significant association. The choice of HIV measure as outcome variable in ecological studies makes a large difference to the study results. The choice of peak HIV prevalence as outcome variable offers the advantage of avoiding the HIV introduction time bias.
机译:以艾滋病毒作为结果变量的生态学研究的一个关键问题是使用何种艾滋病毒流行率度量。在这项研究中,我们比较了各种HIV感染率衡量方法的优缺点,重点是峰值HIV感染率和与暴露变量同时测量的HIV感染率。我们探讨了两种与HIV流行率有关的测量方法的理论问题。然后,我们研究了用一个变量替换另一个变量来替代两个已发表的生态学研究的差异。一项已发表的研究发现,在进行迁移时,迁移强度与HIV感染率之间存在很强的关系。当我们使用峰值HIV患病率作为结果变量重复分析时,没有证据表明存在关联。第二项研究发现并发与峰值HIV感染率之间存在密切关系。重复分析(但同时使用HIV流行率作为结果变量来衡量)时,不再存在显着关联。在生态学研究中,选择HIV度量作为结果变量与研究结果有很大差异。选择峰值HIV患病率作为结果变量具有避免HIV引入时间偏差的优势。

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