Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, Ohio, USA.
Health Geography and Disease Modeling Laboratory, University of Cincinnati, Cincinnati, Ohio, USA.
BMJ Glob Health. 2021 Apr;6(4). doi: 10.1136/bmjgh-2020-004089.
Despite progress towards the Joint United Nations Programme on HIV/AIDS 95-95-95 targets, South Africa is still suffering from one of the largest HIV epidemics globally. In this study, we generated high-resolution HIV prevalence maps and identified people living with HIV (PLHIV) in underserved areas to provide essential information for the optimal allocation of HIV-related services.
The data come from the South Africa Demographic and Health Survey conducted in 2016 and spatial variables from other published literature. We produced high-resolution maps of HIV prevalence and underserved areas, defined as a greater than 30 min travel time to the nearest healthcare facility. Using these maps and the population density, we mapped PLHIV and the PLHIV within underserved areas for 30, 60 and 120 min thresholds.
There was substantial geographic variation in HIV prevalence, ranging from 1.4% to 24.2%, with a median of 11.5% for men, and from 2.1% to 48.1%, with a median of 20.6% for women. Gauteng province showed the highest density for both HIV prevalence and PLHIV. 80% of all areas in the country were identified as underserved areas (30 min threshold), which contained more than 16% and 20% of the total men and women living with HIV, respectively. KwaZulu-Natal province had the largest number of PLHIV in underserved areas (30 min threshold) and showed less than one healthcare facility per 1000 PLHIV.
Our study showed extensive spatial variation of HIV prevalence and significant numbers of PLHIV in underserved areas in South Africa. Moreover, we identified locations where HIV-related services need to be intensified to reach the ~1.5 million PLHIV in underserved areas, particularly in KwaZulu-Natal province, with less than one healthcare facility per 1000 PLHIV.
尽管在实现联合国艾滋病规划署(UNAIDS)95-95-95 目标方面取得了进展,但南非仍在遭受全球最大的艾滋病毒流行之一的困扰。在这项研究中,我们生成了高分辨率的艾滋病毒流行率地图,并确定了服务不足地区的艾滋病毒感染者(PLHIV),为最佳分配艾滋病毒相关服务提供了必要信息。
数据来自 2016 年进行的南非人口与健康调查,以及来自其他已发表文献的空间变量。我们制作了高分辨率的艾滋病毒流行率和服务不足地区地图,将到最近的医疗机构的旅行时间超过 30 分钟的地区定义为服务不足地区。使用这些地图和人口密度,我们绘制了 30、60 和 120 分钟阈值范围内的 PLHIV 和服务不足地区内的 PLHIV。
艾滋病毒流行率存在显著的地理差异,范围从 1.4%到 24.2%,男性中位数为 11.5%,女性中位数为 2.1%到 48.1%。豪登省在艾滋病毒流行率和 PLHIV 方面的密度最高。全国 80%的地区被确定为服务不足地区(30 分钟阈值),分别包含超过 16%和 20%的男性和女性 HIV 感染者。夸祖鲁-纳塔尔省在服务不足地区(30 分钟阈值)的 PLHIV 数量最多,每 1000 名 PLHIV 不到一家医疗机构。
我们的研究表明,南非艾滋病毒流行率存在广泛的空间差异,服务不足地区的 PLHIV 数量也很多。此外,我们确定了需要加强艾滋病毒相关服务的地点,以覆盖服务不足地区的约 150 万 PLHIV,特别是在夸祖鲁-纳塔尔省,每 1000 名 PLHIV 不到一家医疗机构。