Application of spatial statistics on echinococcosis studies
10.3969/cjz.j.issn.1002-2694.2015.03.018
- VernacularTitle:空间统计学方法在棘球蚴病研究中的应用
- Author:
Yue ZHAO
;
Weiping WU
- Publication Type:Journal Article
- Keywords:
spatial statistics;
spatial epidemiology;
echinococcosis
- From:
Chinese Journal of Zoonoses
2015;(3):272-276
- CountryChina
- Language:Chinese
-
Abstract:
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 .
