Zhang N, Yang X G, Wang G Y, Tao X R, Kang D M, Wang N
National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Institute for AIDS Control and Prevention, Shandong Provincial Center for Disease Control and Prevention, Jinan 250014, China.
Institute for AIDS Control and Prevention, Shandong Provincial Center for Disease Control and Prevention, Jinan 250014, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2017 Feb 10;38(2):226-230. doi: 10.3760/cma.j.issn.0254-6450.2017.02.018.
To analyze the spatiotemporal characteristics of HIV/AIDS in Shandong province, 2009-2015. Data on HIV/AIDS between 2009 and 2015 were derived from the Shandong provincial HIV/AIDS Comprehensive Response Information Management System at the end of 2015. All the data were geographically referenced based on 139 spatial units in the related counties of Shandong province. Electronic maps were obtained from China CDC. Global Moran' s statistics and LISA statistics were used to detect the global and local spatial distribution patterns of HIV/AIDS in Shandong. Space-time scan statistics method, based on the Poisson Model, was used to detect the space-time clusters of HIV/AIDS. A total of 9 144 HIV/AIDS cases were reported during 2009-2015 in Shandong province. The scope of spatial distribution on HIV/AIDS expanded annually and concentrated in certain areas. Spatial distribution of HIV/AIDS in 2009 was randomized, and results showed spatial autocorrelation at the county level, during 2010-2015. Spatial hotspot-clusters mainly appeared in Tianqiao, Shizhong and Licheng districts of Jinan city, and Shinan, Laoshan districts of Qingdao city. Results from the Space-time scan analysis identified 5 spatiotemporal clusters in 2013-2015, including 1 most likely cluster and 4 secondary clusters which involving Lixia, Shizhong, Huaiyin and Tianqiao districts of Jinan city (=11.29, =1 592.84, <0.001). The covered counties in secondary clusters appeared in Shinan, Shibei and Licang districts of Qingdao city (=7.35, =682.40, <0.001), Weicheng and Kuiwen districts of Weifang city (=7.33, =363.49, <0.001), Zhifu and Laishan districts of Yantai city (=7.66, =117.63, < 0.001), Zhoucun and Zhangdian districts of Zibo city (=6.09, =268.68, <0.001) respectively. HIV/AIDS cases in Shandong province appeared clustering features in both dimensions of time and space. Prevention efforts were needed to focus on HIV/AIDS highly clustered areas, such as Jinan city, Qingdao city, Zibo city, Weifang city and Yantai city.
分析2009 - 2015年山东省艾滋病病毒/艾滋病的时空特征。2009年至2015年期间艾滋病病毒/艾滋病的数据来自2015年底的山东省艾滋病病毒/艾滋病综合防治信息管理系统。所有数据均基于山东省相关县的139个空间单元进行地理定位。电子地图来自中国疾病预防控制中心。采用全局莫兰统计和局部空间自相关统计(LISA统计)来检测山东省艾滋病病毒/艾滋病的全局和局部空间分布模式。基于泊松模型的时空扫描统计方法用于检测艾滋病病毒/艾滋病的时空聚集情况。2009 - 2015年山东省共报告9144例艾滋病病毒/艾滋病病例。艾滋病病毒/艾滋病的空间分布范围逐年扩大并集中在某些地区。2009年艾滋病病毒/艾滋病的空间分布呈随机状态,2010 - 2015年在县级层面呈现出空间自相关性。空间热点聚集主要出现在济南市的天桥区、市中区和历城区,以及青岛市的市南区、崂山区。时空扫描分析结果确定了2013 - 2015年的5个时空聚集区,包括1个最可能聚集区和4个次聚集区,其中最可能聚集区涉及济南市的历下区、市中区、槐荫区和天桥区(对数似然比 = 11.29,相对风险 = 1592.84,P < 0.001)。次聚集区覆盖的县分别出现在青岛市的市南区、市北区和李沧区(对数似然比 = 7.35,相对风险 = 682.40,P < 0.001)、潍坊市的潍城区和奎文区(对数似然比 = 7.33,相对风险 = 363.49,P < 0.001)、烟台市的芝罘区和莱山区(对数似然比 = 7.66,相对风险 = 117.63,P < 0.001)、淄博市的周村区和张店区(对数似然比 = 6.09,相对风险 = 268.68,P < 0.001)。山东省艾滋病病毒/艾滋病病例在时间和空间维度上均呈现聚集特征。预防工作需要聚焦于艾滋病病毒/艾滋病高度聚集的地区,如济南市、青岛市、淄博市、潍坊市和烟台市。