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.
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.