Spatial-time cluster analysis of distribution of schistosomiasis in Jiangling County
- VernacularTitle:江陵县血吸虫病疫情时空聚集性分析
- Author:
Xia ZHANG
;
Fenghua GAO
;
Huaming ZHANG
;
Hong ZHU
;
Qing YU
;
Shizhu LI
;
Chunli CAO
- Publication Type:Journal Article
- Keywords:
Schistosomiasis;
Endemic situation;
Space-time permutation cluster analysis
- From:
Chinese Journal of Schistosomiasis Control
2014;(4):367-369,381
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the spatial-time distribution characteristics of schistosomiasis in Jiangling County ,Hubei Province from 2006 to 2011. Methods The surveillance data of schistosomiasis of Jiangling County from 2006 to 2011 were col-lected,and a spatial database was established. The spatial-time permutation cluster analysis was performed by SaTScan 9.1.1 to detect the spatial-time cluster areas of schistosomiasis,and a risk map was drawn by ArcGIS 10.0. Results Compared to 2006, the infection rates of human,cattle and Oncomelania hupensis snails decreased by 47.67%,93.34%and 52.41%,respectively in 2011. The space-time permutation clustering analysis of the infection rates of human,cattle and snails showed 4,3 and 4 clusters,respectively,and all the clustered areas were distributed in inner embankment areas. Conclusions From 2006 to 2011,the schistosomiasis endemic situation presents a decline trend in Jiangling County. The detected cluster areas are the im-portant areas for schistosomiasis control. The space-time permutation statistics could be used in the analysis of endemic situation of schistosomiasis.
