Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Public Health. 2019 Jun;171:131-134. doi: 10.1016/j.puhe.2019.04.001. Epub 2019 May 23.
Previous research has documented the adverse association between hurricanes and HIV health outcomes; however, no research has been conducted to examine whether there is spatial overlap between hurricane events and the epidemiology of HIV in the United States. The objectives of this study were to assess the geographic distributions of and spatial autocorrelation between HIV prevalence and the occurrences of hurricanes in the US.
This was a cross-sectional study.
Data on HIV prevalence rates were obtained from the Centers for Disease Control and Prevention, and data on US hurricane events were obtained from the National Oceanic and Atmospheric Administration. ArcGIS, version 10.6, was used for mapping HIV prevalence rates and occurrences of hurricane events, and GeoDa, version 1.12, was used to conduct all univariate and bivariate spatial autocorrelation analyses.
HIV and hurricanes primarily affected states located in the south and along the Gulf Coast. Major hurricanes were reported among these regions also. States recording 20 or more hurricanes between 1851 and 2017 had an average HIV prevalence rate of 453.2 cases per 100,000 in 2016. States recording five or more major hurricanes between 1851 and 2017 had an average HIV prevalence rate of 421.8 cases per 100,000 in 2016. Regarding univariate spatial autocorrelation, HIV prevalence was clustered (Moran's I: 0.1913; pseudo P-value: 0.003). Hurricane events were also clustered (Moran's I: 0.2826; pseudo P-value: 0.004), as were major hurricanes (Moran's I: 0.1982; pseudo P-value: 0.009). There was statistically significant bivariate spatial autocorrelation between neither HIV and hurricanes nor HIV and major hurricanes.
The epidemiology of HIV prevalence and hurricane events has overlapping geographic patterns. This may have implications for hurricane readiness and recovery planning with respect to people living with HIV.
先前的研究记录了飓风与艾滋病毒健康结果之间的不良关联;然而,尚未有研究调查美国的飓风事件与艾滋病毒流行病学之间是否存在空间重叠。本研究的目的是评估美国艾滋病毒流行率与飓风发生的地理分布和空间自相关。
这是一项横断面研究。
从疾病控制与预防中心获取艾滋病毒流行率数据,从国家海洋和大气管理局获取美国飓风事件数据。使用 ArcGIS 版本 10.6 进行 HIV 流行率和飓风事件的映射,使用 GeoDa 版本 1.12 进行所有单变量和双变量空间自相关分析。
艾滋病毒和飓风主要影响位于南部和墨西哥湾沿岸的州。这些地区也报告了重大飓风。在 1851 年至 2017 年期间记录了 20 次或更多飓风的州,2016 年每 10 万人中有 453.2 例艾滋病毒流行率。在 1851 年至 2017 年期间记录了 5 次或更多重大飓风的州,2016 年每 10 万人中有 421.8 例艾滋病毒流行率。关于单变量空间自相关,艾滋病毒流行率呈聚类分布(Moran's I:0.1913;伪 P 值:0.003)。飓风事件也呈聚类分布(Moran's I:0.2826;伪 P 值:0.004),重大飓风也是如此(Moran's I:0.1982;伪 P 值:0.009)。艾滋病毒与飓风之间以及艾滋病毒与重大飓风之间均无统计学意义的双变量空间自相关。
艾滋病毒流行率和飓风事件的流行病学具有重叠的地理模式。这可能对艾滋病毒感染者的飓风准备和恢复规划产生影响。