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作 者:赵飞[1] 朱蓉[2] 张丽娟[2] 张志杰[1] 李源培[1] 何明祯[1] 周艺彪[1] 郭家钢[2] 赵根明[1] 姜庆五[1]
机构地区:[1]复旦大学公共卫生学院流行病学教研室公共卫生安全教育部重点实验室,上海200032 [2]中国疾病预防控制中心寄生虫病预防控制所
出 处:《中华流行病学杂志》2010年第11期1272-1275,共4页Chinese Journal of Epidemiology
基 金:国家自然科学基金(30590374);国家科技重大专项(2008ZX10004-011);上海市重点学科建设项目(B118);复旦大学重点学科创新人才培养计划基金
摘 要:目的 综合探测2008年中国湖区5省血吸虫病传播的聚集区域,为血吸虫病防治提供依据,也为相关疾病聚集区域探测方法的建立提供参考.方法 基于县级地理信息系统(GIS)基础上构建空间数据库,运用全局空间自相关Moran's I、局部空间自相关Getis-Ord Gj与SaTScarn软件综合探测血吸虫病聚集区域,并对结果进行比较.结果 全局空间自相关结果提示从整体研究区域来看,血吸虫病感染率分布呈现空间聚集性(P<0.05);局部空间自相关结果提示有50个县(区)的局部空间自相关结果有统计学意义(P<0.05),且z值均>0,提示存在高值聚集;SaTScan统计结果探测出5个聚集区域,与局部空间自相关的结果较为吻合.结论 湖区5省沿江地区仍然是中国血吸虫病防治的重点,尤以湖北、湖南两省交界地带空间聚集性最高、范围最大.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.
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