School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
PLoS One. 2013 Jul 23;8(7):e69279. doi: 10.1371/journal.pone.0069279. Print 2013.
Sub-Saharan Africa bears a disproportionate burden of HIV infection. Knowledge of the spatial distribution of HIV outcomes is vital so that appropriate public health interventions can be directed at locations most in need. In this regard, spatial clustering analysis of HIV-related mortality events has not been performed in a rural sub-Saharan African setting.
Kulldorff's spatial scan statistic was used to identify HIV-related and all-cause mortality clusters (p<0.05) in a population-based demographic surveillance survey in rural KwaZulu Natal, South Africa (2000-2006). The analysis was split pre (2000-2003) and post (2004-2006) rollout of antiretroviral therapy, respectively. Between 2000-2006 a total of 86,175 resident individuals ≥15 years of age were under surveillance and 5,875 deaths were recorded (of which 2,938 were HIV-related) over 343,060 person-years of observation (crude all-cause mortality rate 17.1/1000). During both time periods a cluster of high HIV-related (RR = 1.46/1.51, p = 0.001) and high all-cause mortality (RR = 1.35/1.38, p = 0.001) was identified in peri-urban communities near the National Road. A consistent low-risk cluster was detected in the urban township in both time periods (RR = 0.60/0.39, p = 0.003/0.005) and in the first time period (2000-2003) a large cluster of low HIV-related and all-cause mortality in a remote rural area was identified.
HIV-related and all-cause mortality exhibit strong spatial clustering tendencies in this population. Highest HIV-related mortality and all-cause mortality occurred in the peri-urban communities along the National Road and was lowest in the urban township and remote rural communities. The geography of HIV-related mortality corresponded closely to the geography of HIV prevalence, with the notable exception of the urban township where high HIV-related mortality would have been expected on the basis of the high HIV prevalence. Our results suggest that HIV treatment and care programmes should be strengthened in easy-to-reach high density, peri-urban populations near National Roads where both HIV-related and all-cause mortality are highest.
撒哈拉以南非洲承担着不成比例的艾滋病毒感染负担。了解艾滋病毒结果的空间分布至关重要,以便能够将适当的公共卫生干预措施针对最需要的地方。在这方面,在撒哈拉以南非洲农村地区尚未对艾滋病毒相关死亡事件进行空间聚类分析。
在南非夸祖鲁-纳塔尔省农村地区的一项基于人群的人口监测调查中(2000-2006 年),使用 Kulldorff 的空间扫描统计量来识别与艾滋病毒相关的和全因死亡率聚类(p<0.05)。分析分别在抗逆转录病毒治疗推出前(2000-2003 年)和推出后(2004-2006 年)进行。2000-2006 年间,共有 86175 名年龄在 15 岁及以上的常住居民受到监测,在 343060 人年的观察期间记录了 5875 例死亡(其中 2938 例与艾滋病毒有关),粗全因死亡率为 17.1/1000。在两个时期,在靠近国家公路的城市郊区社区中都发现了一个与艾滋病毒相关的高死亡率(RR=1.46/1.51,p=0.001)和高全因死亡率(RR=1.35/1.38,p=0.001)的集群。在两个时期都在城市乡镇中发现了一个一致的低风险集群(RR=0.60/0.39,p=0.003/0.005),并且在第一个时期(2000-2003 年),在一个偏远的农村地区发现了一个与艾滋病毒相关的死亡率和全因死亡率都较低的大型集群。
在该人群中,与艾滋病毒相关的死亡率和全因死亡率呈现出强烈的空间聚类趋势。国家公路沿线城市郊区社区的艾滋病毒相关死亡率和全因死亡率最高,城市乡镇和偏远农村社区的死亡率最低。艾滋病毒相关死亡率的地理分布与艾滋病毒流行率的地理分布非常吻合,只有城市乡镇是个例外,那里根据高艾滋病毒流行率,本应出现高艾滋病毒相关死亡率。我们的结果表明,艾滋病毒治疗和护理方案应在靠近国家公路的人口密集的城市郊区地区得到加强,那里的艾滋病毒相关死亡率和全因死亡率最高。