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Importance of promoting HIV testing for preventing secondary transmissions: modelling the Australian HIV epidemic among men who have sex with men

机译:促进艾滋病毒检测以预防继发性传播的重要性:在与男性发生性关系的男性中模拟澳大利亚艾滋病毒的流行

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Background: We address the research questions: (i) what proportion of new HIV infections is transmitted from people who are (a) undiagnosed, (b) in primary HIV infection (PHI), (c) on antiretroviral therapy?; and (ii) what is the expected epidemiological impact of (a) increasing the proportion of newly acquired HIV infections receiving early treatment, and (b) increasing HIV testing rates? Methods: We used a mathematical model to simulate HIV transmission in the population of men who have sex with men (MSM) in Australia. We calibrated the model using established biological and clinical data and a wide range of Australian MSM epidemiological and behavioural data sources. Results: We estimate that ~19% of all new HIV infections are transmitted from the ~3% of Australian HIV-infected MSM who are in PHI; ~31% of new HIV infections are estimated to be transmitted from the ~9% of MSM with undiagnosed HIV. We estimate that the average number of infections caused per HIV-infected MSM through the duration of PHI is ~0.14–0.28. Conclusions: The epidemiological impact of increasing treatment in PHI would be modest due to insufficient detection of newly-infected individuals. In contrast, increases in HIV testing rates could have substantial epidemiological consequences. The benefit of testing will also increase over time. Promoting increases in the coverage and frequency of testing for HIV could be a highly-effective public health intervention, but the population-level impact of interventions based on promoting early treatment of patients diagnosed in PHI is likely to be small. Treating PHI requires further evaluation of its long-term effects on HIV-infected individuals.
机译:背景:我们解决了以下研究问题:(i)(a)未确诊,(b)原发性HIV感染(PHI),(c)抗逆转录病毒疗法的人传播了多少新的HIV感染? (ii)(a)增加接受早期治疗的新获得的HIV感染的比例以及(b)提高HIV检测率的预期的流行病学影响是什么?方法:我们使用数学模型模拟了澳大利亚男男性接触者(MSM)的HIV传播情况。我们使用已建立的生物学和临床数据以及广泛的澳大利亚MSM流行病学和行为数据源对模型进行了校准。结果:我们估计,在所有新的HIV感染中,约有19%来自PHI的约3%的澳大利亚HIV感染的MSM。估计约31%的新HIV感染是由约9%的MSM未诊断出的HIV传播的。我们估计,在整个PHI期间,每个HIV感染的MSM引起的平均感染数约为0.14-0.28。结论:由于对新感染个体的检测不足,在PHI中增加治疗的流行病学影响将是中等的。相反,艾滋病毒检测率的提高可能会带来重大的流行病学后果。随着时间的推移,测试的好处也会增加。促进艾滋病毒检测的覆盖面和频率的增加可能是一种非常有效的公共卫生干预措施,但是基于促进对PHI诊断的患者进行早期治疗的干预措施对人群的影响可能很小。治疗PHI需要进一步评估其对HIV感染者的长期影响。

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