Integrated detection and analysis on the dusters of schistosomiasis based on geographic information system
10.3760/cma.j.issn.0254-6450.2010.11.016
- VernacularTitle:中国湖区五省血吸虫病聚集区域地理信息系统综合探测分析
- Author:
Fei ZHAO
1
;
Rong ZHU
;
Li-Juan ZHANG
;
Zhi-Jie ZHANG
;
Yuan-Pei LI
;
Ming-Zhen HE
;
Yi-Biao ZHOU
;
Jia-Gang GUO
;
Gen-Ming ZHAO
;
Qing-Wu JIANG
Author Information
1. 复旦大学
- Keywords:
Schistosomiasis;
Geographic information system;
Cluster areas
- From:
Chinese Journal of Epidemiology
2010;31(11):1272-1275
- CountryChina
- Language:Chinese
-
Abstract:
Objective To detect and analyze the clusters of schistosomiasis on marshland and lake areas based on geographic information system (GIS) in 2008 and to provide suggestions for the development of integrated methodology on the detection of clusters on related diseases. Methods Moran' s I of global spatial autocorrelation, Getis-Ord Gi of local spatial autocorrelation and SaTScan were used to detect the schistosomiasis clusters based on GIS and comparison of the results for different methods were performed. Results Results from the global Moran' s I tests for all the marshland and lake areas related to the schistosomiasis were statistically significant (P＜0.05)and indicated spatial heterogeneity; the z-score outcomes as calculated by Getis-Ord Gi indicated high cluster that 50 clusters were categorized at the 0.05 significance level and the z-score of these 45 clusters were more than 0. Results of SaTScan statistics appeared the same as local spatial autocorrelation and almost showing the existence of 5 cluster areas. Conclusion The geographical distribution of clusters where schistosomiasis was prevalent showed that it was closely corresponded to the middle and lower Yangtse river and in particular, many clusters were located near the boundary of Hubei and Hunan province.
