Implementation Research Division, The Aurum Institute, Johannesburg; School of Public Health, University of the Witwatersrand, Johannesburg.
School of Public Health, University of the Witwatersrand, Johannesburg.
Geospat Health. 2022 Aug 29;17(2). doi: 10.4081/gh.2022.1084.
Equitable allocation of resources targeting the human immunodeficiency virus (HIV) at the local level requires focusing interventions in areas of the greatest need. Understanding the geographical variation in the HIV epidemic and uptake of selected HIV prevention and treatment programmes are necessary to identify such areas. Individual-level HIV data were obtained from a 2012 national HIV survey in South Africa. Spatial regression models on each outcome measure (HIV infection, sub-optimal condom use or non-anti-retroviral treatment (ART) adjusted for spatial random effects at the ward level were fitted using WINBUGS software. In addition, ward-level data was utilized to estimate condom use coverage and ART initiation rates which were obtained from routinely collected data in 2012. Ordinary Kriging was used to produce smoothed maps of HIV infection, condom use coverage and ART initiation rates. HIV infection was associated with individuals undertaking tertiary education [posterior odds ratio (POR): 19.53; 95% credible intervals (CrI): 3.22- 84.93]. Sub-optimal condom use increased with age (POR: 1.09; 95%CrI: 1.06-1.11) and was associated with being married (POR: 4.14; 95%CrI: 1.23-4.28). Non-ART use was associated with being married (POR: 6.79; 95%CrI: 1.43-22.43). There were clusters with high HIV infection, sub-optimal condom use, and non- ART use in Ekurhuleni, an urban and semi-urban district in Gauteng province, South Africa. Findings show the need for expanding condom programmes and/or strengthening other HIV prevention programmes such as pre-exposure prophylaxis and encouraging sustained engagement in HIV care and treatment in the identified areas with the greatest need in Ekurhuleni Metropolitan Municipality.
要在地方层面公平分配资源以应对人类免疫缺陷病毒(HIV),就需要将干预措施集中在需求最大的地区。了解 HIV 疫情的地域差异以及特定 HIV 预防和治疗方案的采用情况,是确定这些地区的必要条件。个人层面的 HIV 数据来自 2012 年南非全国 HIV 调查。使用 WINBUGS 软件,对每个结果衡量指标(HIV 感染、次优 condom 使用或未接受抗逆转录病毒治疗(ART))进行基于 ward 水平的空间随机效应的回归模型拟合。此外,还利用 ward 级别的数据来估计 condom 使用覆盖率和 ART 启动率,这些数据来自 2012 年常规收集的数据。使用普通克里金法生成 HIV 感染、condom 使用覆盖率和 ART 启动率的平滑地图。HIV 感染与接受高等教育的个体有关[后验优势比(POR):19.53;95%可信区间(CrI):3.22-84.93]。次优 condom 使用随着年龄的增长而增加(POR:1.09;95%CrI:1.06-1.11),并与已婚有关(POR:4.14;95%CrI:1.23-4.28)。未接受 ART 治疗与已婚有关(POR:6.79;95%CrI:1.43-22.43)。在南非豪登省的一个城市和半城市地区 Ekurhuleni,发现了 HIV 感染率高、condom 使用不足和未接受 ART 治疗的集群。研究结果表明,需要扩大 condom 方案和/或加强其他 HIV 预防方案,如暴露前预防,并鼓励在 Ekurhuleni 大都市市政当局最需要的地区持续参与 HIV 护理和治疗。