Institute for Global Health Sciences, University of California San Francisco, San Francisco, CA, United States.
South African Centre for Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa.
JMIR Public Health Surveill. 2020 Jun 24;6(2):e17107. doi: 10.2196/17107.
Direct measures of HIV incidence are needed to assess the population-level impact of prevention programs but are scarcely available in the subnational epidemic hotspots of sub-Saharan Africa. We created a sentinel HIV incidence cohort within a community-based program that provided home-based HIV testing to all residents of Namibia's Zambezi region, where approximately 24% of the adult population was estimated to be living with HIV.
The aim of this study was to estimate HIV incidence, detect correlates of HIV acquisition, and assess the feasibility of the sentinel, community-based approach to HIV incidence surveillance in a subnational epidemic hotspot.
Following the program's initial home-based testing (December 2014-July 2015), we purposefully selected 10 clusters of 60 to 70 households each and invited residents who were HIV negative and aged ≥15 years to participate in the cohort. Consenting participants completed behavioral interviews and a second HIV test approximately 1 year later (March-September 2016). We used Poisson models to calculate HIV incidence rates between baseline and follow-up and multivariable Cox proportional hazard models to assess the correlates of seroconversion.
Among 1742 HIV-negative participants, 1624 (93.23%) completed follow-up. We observed 26 seroconversions in 1954 person-years (PY) of follow-up, equating to an overall incidence rate of 1.33 per 100 PY (95% CI 0.91-1.95). Among women, the incidence was 1.55 per 100 PY (95% CI 1.12-2.17) and significantly higher among those aged 15 to 24 years and residing in rural areas (adjusted hazard ratio [aHR] 4.26, 95% CI 1.39-13.13; P=.01), residing in the Ngweze suburb of Katima Mulilo city (aHR 2.34, 95% CI 1.25-4.40; P=.01), who had no prior HIV testing in the year before cohort enrollment (aHR 3.38, 95% CI 1.04-10.95; P=.05), and who had engaged in transactional sex (aHR 17.64, 95% CI 2.88-108.14; P=.02). Among men, HIV incidence was 1.05 per 100 PY (95% CI 0.54-2.31) and significantly higher among those aged 40 to 44 years (aHR 13.04, 95% CI 5.98-28.41; P<.001) and had sought HIV testing outside the study between baseline and follow-up (aHR 8.28, 95% CI 1.39-49.38; P=.02). No seroconversions occurred among persons with HIV-positive partners on antiretroviral treatment.
Nearly three decades into Namibia's generalized HIV epidemic, these are the first estimates of HIV incidence for its highest prevalence region. By creating a sentinel incidence cohort from the infrastructure of an existing community-based testing program, we were able to characterize current transmission patterns, corroborate known risk factors for HIV acquisition, and provide insight into the efficacy of prevention interventions in a subnational epidemic hotspot. This study demonstrates an efficient and scalable framework for longitudinal HIV incidence surveillance that can be implemented in diverse sentinel sites and populations.
需要直接测量艾滋病毒发病率来评估预防规划对人群的影响,但在撒哈拉以南非洲的次国家级艾滋病毒流行热点地区,这种数据非常稀缺。我们在一个基于社区的方案中创建了一个哨点艾滋病毒发病率队列,该方案为纳米比亚赞比西地区的所有居民提供上门艾滋病毒检测,该地区约有 24%的成年人口估计感染了艾滋病毒。
本研究旨在估计艾滋病毒发病率,发现艾滋病毒感染的相关因素,并评估在次国家级艾滋病毒流行热点地区基于社区的哨点艾滋病毒发病率监测方法的可行性。
在该方案最初的上门检测(2014 年 12 月至 2015 年 7 月)之后,我们有目的地选择了 10 个由 60 至 70 户家庭组成的集群,并邀请艾滋病毒阴性且年龄≥15 岁的居民参加该队列。同意参加的参与者在大约 1 年后(2016 年 3 月至 9 月)完成行为访谈和第二次艾滋病毒检测。我们使用泊松模型计算基线和随访之间的艾滋病毒发病率,并使用多变量 Cox 比例风险模型评估血清转换的相关因素。
在 1742 名艾滋病毒阴性的参与者中,有 1624 名(93.23%)完成了随访。我们在 1954 人年(PY)的随访中观察到 26 例血清转换,总发病率为 1.33 例/100 PY(95%CI 0.91-1.95)。在女性中,发病率为 1.55 例/100 PY(95%CI 1.12-2.17),年龄在 15 至 24 岁和居住在农村地区的女性发病率明显更高(调整后的危险比[aHR] 4.26,95%CI 1.39-13.13;P=.01),居住在卡蒂马穆利洛市恩格威泽郊区的女性发病率更高(aHR 2.34,95%CI 1.25-4.40;P=.01),在队列入组前一年内没有进行过艾滋病毒检测的女性发病率更高(aHR 3.38,95%CI 1.04-10.95;P=.05),以及从事过交易性性行为的女性发病率更高(aHR 17.64,95%CI 2.88-108.14;P=.02)。在男性中,艾滋病毒发病率为 1.05 例/100 PY(95%CI 0.54-2.31),年龄在 40 至 44 岁的男性发病率明显更高(aHR 13.04,95%CI 5.98-28.41;P<.001),并且在基线和随访期间在研究之外寻求过艾滋病毒检测的男性发病率更高(aHR 8.28,95%CI 1.39-49.38;P=.02)。与正在接受抗逆转录病毒治疗的艾滋病毒阳性伴侣的人没有血清转换。
在纳米比亚艾滋病毒广泛流行的近 30 年后,这是对其流行率最高地区艾滋病毒发病率的首次估计。通过从现有的基于社区的检测方案的基础设施中创建一个哨点发病率队列,我们能够描述当前的传播模式,证实了已知的艾滋病毒感染获得的危险因素,并深入了解在次国家级艾滋病毒流行热点地区预防干预措施的效果。本研究证明了一种高效且可扩展的纵向艾滋病毒发病率监测框架,可在不同的哨点和人群中实施。