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重庆市2008-2012年手足口病空间聚集性及影响因素研究
引用本文:唐小静,曾庆,赵寒,易娟,李勤,肖达勇,夏宇,杨荣刚,方明金.重庆市2008-2012年手足口病空间聚集性及影响因素研究[J].中国人兽共患病杂志,2014,30(12):1196-1200.
作者姓名:唐小静  曾庆  赵寒  易娟  李勤  肖达勇  夏宇  杨荣刚  方明金
作者单位:1.重庆医科大学卫生统计与信息管理教研室,重庆 400016;2.重庆市疾病预防控制中心,重庆 400042;3.重庆市卫生局,重庆 401147
基金项目:重庆市卫生局科技计划项目(No.2011-2-583)
摘    要:目的 了解重庆市2008-2012年手足口病空间聚集性及其发病的影响因素。方法 利用软件OpenGeoDa,对重庆市2008-2012年38个区(县)手足口病发病资料进行空间自相关和空间回归分析。结果 2008年重庆市手足口病发病率全局Moran’s I=0.133 2,P>0.05,不具有全局空间自相关性;2009-2012年重庆市手足口病发病率全局Moran’s I依次为0.458 7,0.567 5,0.398 6,0.606 0,均有P<0.01,表明从全局上看,重庆市2009-2012年手足口病发病有正向空间自相关性,呈现出空间聚集性分布状态。空间回归分析结果提示:手足口病发病与城镇化率呈正相关(β=1.667 6,P=0.001 6)、与每千人口中的卫生技术人员呈负相关(β=-0.000 2,P=0.019 8)。结论 重庆市2008年手足口病发病呈随机性分布,2009-2012年手足口病发病有空间聚集性,重庆市2008-2012年手足口病发病受城镇化率及每千人口中的卫生技术人员数的影响,又以受城镇化率影响较大。

关 键 词:手足口病  空间自相关  LISA  空间滞后模型  
收稿时间:2016-06-10

Spatial clustering and influential factors of hand-foot-mouth disease (HFMD)in Chongqing,China, 2008-2012
TANG Xiao-jing,ZENG Qing,ZHAO Han,YI Juan,LI Qin,XIAO Da-yong,XIA Yu,YANG Rong-gang,FANG Ming-jin.Spatial clustering and influential factors of hand-foot-mouth disease (HFMD)in Chongqing,China, 2008-2012[J].Chinese Journal of Zoonoses,2014,30(12):1196-1200.
Authors:TANG Xiao-jing  ZENG Qing  ZHAO Han  YI Juan  LI Qin  XIAO Da-yong  XIA Yu  YANG Rong-gang  FANG Ming-jin
Institution:1.Department of Biostatistics, School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China;2.Chongqing Center for Disease Control and Prevention, Chongqing 400042, China;3.Office of Emergency Treatment, Chongqing Municipal Health Bureau, Chongqing 401147, China
Abstract:In order to explore the spatial clustering and influential factors of HFMD in Chongqing, China from 2008 to 2012, spatial autocorrelation and spatial regression analysis (using the spatial lag model in this study) were carried out using the HFMD data of 38 districts (counties) from 2008-2012 in Chongqing by OpenGeoDa, and the HFMD case-based data was collected from the Disease Supervision Information Management System of Chongqing Center for Disease Control and Prevention. We found that the global Moran’s I coefficient of Chongqing from 2009 to 2012 was 0.458 7, 0.567 5, 0.398 6, and 0.606 0(P<0.01), respectively, indicating that the incidence of HFMD in Chongqing had a positive spatial correlation in this four years and a spatial clustering distribution was displayed. However, no global spatial autocorrelation was founded in 2008 and the global Moran’s I coefficient was 0.133 2 (P>0.05). Results of multi-factor spatial lag regression analysis demonstrated that the incidence of HFMD was positively related with urban rate (β=1.667 6, P=0.001 6), and negatively correlated with medical technical personnel per thousand (β=-0.000 2, P=0.019 8). In general, the incidence of HFMD was found geographically clustered in Chongqing from 2009 to 2012 which was significantly influenced by urban rate and medical technical personnel per thousand population, and while the urban rate was the main factor.
Keywords:HFMD  spatial autocorrelation  LISA  spatial model  
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