Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control · 2014
[Spatial-time cluster analysis of distribution of schistosomiasis in Jiangling County].
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Zhang Xia, Gao Feng-hua, Zhang Hua-ming, Zhu Hong, Yu Qing, Li Shi-zhu, Cao Chun-li
Аннотация
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 collected, 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 important areas for schistosomiasis control. The space-time permutation statistics could be used in the analysis of endemic situation of schistosomiasis.
METHODS: The surveillance data of schistosomiasis of Jiangling County from 2006 to 2011 were collected, 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 important areas for schistosomiasis control. The space-time permutation statistics could be used in the analysis of endemic situation of schistosomiasis.