Desmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine and Department of Medicine, University of Cape Town, Cape Town, South Africa.
Global Health Sciences, University of California San Francisco, San Francisco, USA.
AIDS Behav. 2018 Mar;22(3):853-859. doi: 10.1007/s10461-017-1773-y.
A data triangulation exercise was carried out between 2013 and 2015 to assess the HIV epidemic and response among gay, bisexual and other men who have sex with men (GBMSM) in South Africa. We used the findings to assess progress in achieving the UNAIDS 90-90-90 goals for GBMSM in the country. Three scenarios were developed using different GBMSM population factors (2.0, 3.5 and 5.0% of males aged ≥15) to estimate the population size, HIV prevalence of 13.2-49.5%, and 68% of GBMSM knowing their status. Due to data gaps, general population data were used as estimates of GBMSM on antiretroviral therapy (ART) and virologically suppressed (25.7 and 84.0%, respectively). The biggest gap is access to ART. To address the data gap we recommend developing data collection tools, indicators, and further quantification of HIV cascades. Targeted testing, linkage to services and scaled-up prevention interventions (including pre-exposure prophylaxis) are also required.
2013 年至 2015 年期间进行了数据三角分析，以评估南非男同性恋者、双性恋者和其他与男性发生性关系者（GBMSM）中的艾滋病毒流行情况和应对措施。我们利用这些发现来评估该国在实现艾滋病规划署 90-90-90 目标方面取得的进展，该目标是针对 GBMSM。我们使用了三种不同的 GBMSM 人口因素（≥15 岁男性的 2.0%、3.5%和 5.0%）来估计人口规模、13.2%-49.5%的 HIV 流行率以及 68%的 GBMSM 了解自己的状况。由于数据差距，一般人群数据被用作接受抗逆转录病毒疗法（ART）和病毒学抑制（分别为 25.7%和 84.0%）的 GBMSM 的估计值。最大的差距是获得 ART 的机会。为了解决数据差距问题，我们建议开发数据收集工具、指标，并进一步量化 HIV 级联。还需要进行针对性检测、服务联系和扩大预防干预（包括暴露前预防）。
