Gedney Ryan, Butler Willis Kimberly, O'Brien Aaron, Luciano Michael, Richardson Katherine J, Meissner Eric G
Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.
Ryan White Wellness Center, Roper St. Francis Healthcare, Charleston, SC, USA.
Infect Dis (Auckl). 2019 Aug 21;12:1178633719870759. doi: 10.1177/1178633719870759. eCollection 2019.
Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charleston, South Carolina and surrounding counties. To facilitate the public health approach to address the HIV epidemic in this region, we used data collected by the South Carolina Department of Health and Environmental Control (SC-DHEC) from 2014 to 2015 to generate local geospatial maps of disease incidence and identify specific areas that may benefit from increased testing and educational efforts. We identified specific zip codes in which there were a high number of cases from patients residing in those areas, but a low number of providers reporting new cases, and we describe ongoing efforts to address this disparity. This analysis identifies a local, collaborative approach to address the HIV epidemic using routinely collected surveillance data.
利用地理空间映射技术分析疾病发病率,可以在资源有限的环境中加强有针对性的公共卫生工作。虽然一些大都市地区很容易获得艾滋病毒发病率的数据,但目前还没有资源以地理空间方式绘制南卡罗来纳州查尔斯顿市及其周边县的艾滋病毒发病率地图。为了推动该地区应对艾滋病毒流行的公共卫生方法,我们使用了南卡罗来纳州卫生与环境控制部(SC-DHEC)在2014年至2015年期间收集的数据,来生成当地疾病发病率的地理空间地图,并确定可能受益于增加检测和教育工作的特定区域。我们确定了一些特定的邮政编码区域,这些区域居住的患者病例数很多,但报告新病例的医疗服务提供者数量很少,并且我们描述了为解决这一差距正在进行的努力。该分析确定了一种利用常规收集的监测数据应对艾滋病毒流行的地方协作方法。