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首页> 外文期刊>International Journal of Environmental Research and Public Health >Spatial Analysis of HIV Positive Injection Drug Users in San Francisco, 1987 to 2005
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Spatial Analysis of HIV Positive Injection Drug Users in San Francisco, 1987 to 2005

机译：1987年至2005年旧金山艾滋病毒阳性注射吸毒者的空间分析

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Spatial analyses of HIV/AIDS related outcomes are growing in popularity as a tool to understand geographic changes in the epidemic and inform the effectiveness of community-based prevention and treatment programs. The Urban Health Study was a serial, cross-sectional epidemiological study of injection drug users (IDUs) in San Francisco between 1987 and 2005 (N = 29,914). HIV testing was conducted for every participant. Participant residence was geocoded to the level of the United States Census tract for every observation in dataset. Local indicator of spatial autocorrelation (LISA) tests were used to identify univariate and bivariate Census tract clusters of HIV positive IDUs in two time periods. We further compared three tract level characteristics (% poverty, % African Americans, and % unemployment) across areas of clustered and non-clustered tracts. We identified significant spatial clustering of high numbers of HIV positive IDUs in the early period (1987–1995) and late period (1996–2005). We found significant bivariate clusters of Census tracts where HIV positive IDUs and tract level poverty were above average compared to the surrounding areas. Our data suggest that poverty, rather than race, was an important neighborhood characteristic associated with the spatial distribution of HIV in SF and its spatial diffusion over time.
机译：艾滋病毒/艾滋病相关结果的空间分析作为一种工具，可用于了解流行病的地理变化并告知社区预防和治疗计划的有效性。城市健康研究是1987年至2005年间旧金山注射毒品使用者（IDU）的系列横断面流行病学研究（N = 29,914）。对每个参与者进行了艾滋病毒检测。对于数据集中的每个观察，参与者的住所都被地理编码为美国人口普查区域的水平。使用空间自相关（LISA）测试的本地指标来确定两个时间段内HIV阳性IDU的单变量和双变量人口普查集群。我们进一步比较了集群区域和非集群区域的三个区域级别特征（贫困百分比，非裔美国人百分比和失业百分比）。我们在早期（1987-1995年）和晚期（1996-2005年）发现了大量HIV阳性吸毒者的显着空间聚集。我们发现人口普查区有明显的双变量簇，与周围地区相比，艾滋病毒阳性的注射吸毒者和地区的贫困水平高于平均水平。我们的数据表明，贫困而不是种族是与SF中HIV的空间分布及其随时间的空间扩散相关的重要邻里特征。

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