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HIV serosorting as a harm reduction strategy: evidence from Seattle, Washington.

机译:将艾滋病毒血清分类作为减少伤害的策略:华盛顿西雅图的证据。

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OBJECTIVE: We sought to estimate how serosorting may affect HIV prevalence and individual risk among men who have sex with men in Seattle, Washington, and how the results vary under different assumptions of HIV testing frequency, heterogeneity in sexual behavior, and condom use. METHODS: We developed a deterministic mathematical model of HIV transmission dynamics. Data from the 2003 random digit dial study of men who have sex with men conducted in Seattle, Washington (n = 400) are used to parameterize the model. RESULTS: Predicted population-level HIV prevalence as well as an individual's risk of HIV acquisition decreases when the odds of serosorting are increased in the mathematical model. In our model based on observed levels of serosorting, we predict an HIV prevalence of 16%. In contrast, if serosorting were eliminated in the population, we predict that HIV prevalence would increase to 24.5%. However, our findings depend on rates of condom use, mean anal sex contact rates, and HIV testing in the population. CONCLUSION: Under realistic scenarios of sexual behavior and testing frequency for men who have sex with men in the United States, serosorting can be an effective harm reduction strategy.
机译:目的:我们试图评估血清分选法如何影响华盛顿州西雅图市男男性接触者的艾滋病毒流行率和个人风险,以及在不同的艾滋病毒检测频率,性行为异质性和使用避孕套的假设下结果如何变化。方法:我们建立了HIV传播动力学的确定性数学模型。来自2003年在华盛顿州西雅图市(n = 400)与男性发生性关系的男性随机数字拨号研究的数据用于参数化该模型。结果:当数学模型中血清分类的几率增加时,预测的人群水平的艾滋病毒流行率以及个人感染艾滋病毒的风险就会降低。在基于观察到的血清分选水平的模型中,我们预测HIV流行率为16%。相反,如果消除了人群中的血清分类,我们预测艾滋病毒的患病率将上升到24.5%。但是,我们的发现取决于人群中避孕套的使用率,平均肛门性接触率和HIV检测。结论:在现实情况下,在美国,与男性发生性关系的男性的性行为和测试频率,血清分类可以是一种有效的减少危害的策略。

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