空间统计学方法在棘球蚴病研究中的应用  

Application of spatial statistics on echinococcosis studies

作　　者：赵月[1] 伍卫平[1] 

机构地区：[1]中国疾病预防控制中心寄生虫病预防控制所,卫生部寄生虫病原与媒介生物学重点实验室,世界卫生组织疟疾,血吸虫病和丝虫病合作中心,上海200025

出　　处：《中国人兽共患病学报》2015年第3期272-276,共5页Chinese Journal of Zoonoses

基　　金：国家重大科技专项(2012ZX10004-220);国家传染病重大专项(2012ZX10004-201)联合资助~~

摘　　要：空间统计学方法在棘球蚴病空间流行病学研究中发挥着重要的作用。在棘球蚴病空间流行病学研究方面,空间统计学方法可用于描述棘球蚴病的空间分布情况,对未抽样地区棘球蚴病患病率进行预测,分析棘球蚴病的影响因素。明确棘球蚴病的空间分布对于开展棘球蚴病的防控工作具有重要的意义。Spatial statistics plays an important role in spatial epidemiology studies of echinococcosis .Spatial statistics can be used to describe the spatial distribution ,predict the prevalence ,identify disease clusters ,and analyze the influencing factors of echinococcosis .To describe spatial distribution and predict the prevalence ,we can use spatial interpolation ,empirical bayes smoothing and ellipsoidal gradient .Spatial autocorrelation always used to identify disease clusters .Moran＇s I value ,Getis＇G val‐ue and spatial scan statistics are used to judge spatial autocorrelation .Molding plays an important role on analyzing risk factors of echinococcosis .Generalised linear mixed models and Bayesian model are always performed with both spatial factors ,such as geomorphologic features ,climatic characteristics ,vegetation index and factors which make great effect on disease transmission . To figure out the spatial distribution of echinococcosis is significant for echinococcosis control and prevention .

关 键 词：空间统计学 空间流行病学 棘球蚴病 

分 类 号：R383.3[医药卫生—医学寄生虫学]