关键词: 血吸虫病, 核密度估计, 空间自相关, 空间聚集性, 地理信息系统

Abstract: Objective To analyze the spatial clustering characteristics of schistosomiasis prevalence in Ma’ anshan from 2011 to 2020 for evidences to develop prevention and control measures. Methods Between 2011 and 2020,spatial database of serological examination in population in Ma’anshan area were established based on the endemic village. Kernel density analysis,Moran' s Iindex,and Getis-Ord Gi∗ index were used for global and local spatial autocorrelation analysis. Results The positive rate of schistosomiasis antibody in population in Ma’ anshan was declined overall from 2011 to 2020, and dissimilar in different years ( χ2 = 5. 139,P<0. 01). Kernel density estimation showed that southeastern and eastern areas in Huyang Town were the medium-high density area with positive blood test in periods of the 12th and the 13th Five-Year Plan,yet the former medium-high density areas,including Jiangxin Town,Huangchi River and north region of Shijiu Lake, were changed into low density areas in the period of the 13th Five-Year Plan. The global Moran's I indicated that the positive rate by blood test in population in Ma’ anshan City were spatially clustered from 2011 to 2020. Local hotspot analysis showed that Jiangxin Town,Huyang Town,and some endemic villages along Yangtze River,including Hexian County,Huashan District and Yushan District were hotspot gathering areas during the periods of the 12th and the 13th Five-Year Plan. And in the 13th Five Year Plan period,hotspot appeared gathered in areas along Dagongweijia river in Dangtu County,and was expanded in areas along the Yangtze River within Hexian county. Conclusion There was a significant positive spatial autocorrelation and clustering for schistosomiasis prevalence in Ma’anshan area between 2011 and 2020,yet the clustering area tends to change during that period.

Key words: Schistosomiasis, Kernel density estimation, Spatial autocorrelation, Spatial clustering, Geographical information
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