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作 者:姚保栋[1] 周艺彪[1] 王增亮[1] 田安平 朱绍平 胡本骄[3] 张志杰[1] 宋秀霞[1] 易平[3] 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]湖南省安乡县血吸虫病防治工作领导小组办公室 [3]湖南省血吸虫病防治所
出 处:《中国血吸虫病防治杂志》2012年第1期72-75,共4页Chinese Journal of Schistosomiasis Control
基 金:国家高技术研究发展技术(863计划)(2006AA02Z402)
摘 要:目的探讨安乡县晚期血吸虫病(晚血)的空间分布模式及规律,为晚血的有效防控提供科学依据。方法建立安乡县基于行政村的空间数据库,运用全局空间自相关(Moran’sI)、局部空间自相关(Local Moran’s I,LISA)与空间扫描统计量法探索晚血空间分布特征。结果全局空间自相关结果显示,总体研究区域上晚血患病率不存在空间自相关(Mo-ran’sI=0.06,P>0.05);局部空间自相关分析探测出9个村的LISA值差异有统计学意义(P<0.05),其中H-H、L-H、H-L3种相关模式的村分别有4、3个和2个;空间扫描统计量法分析结果显示有1个患病率高值聚集区。结论安乡县晚血分布存在局部空间自相关和一定的聚集性,可根据这些分布特征,合理安排防治资源,从而更加有效地控制血吸虫病。Objective To explore the spatial distribution and pattern of advanced schistosomiasis in Anxiang County so as to provide the evidence for improving advanced schistosomiasis control. Methods Based on the geographic database of advanced schistosomiasis distribution at the village level in Anxiang County,Hunan Province,the spatial autocorrelation analysis and spatial scan statistics were applied to analyze the spatial characteristics of distribution of advanced schistosomiasis. Results The global Moran--s I of prevalence rate of advanced schistosomiasis was 0.06 (P 0.05) and there was no spatial auto-correlation as a whole. The local spatial auto-correlation analysis showed that there were 9 villages with statistically significant LISA value (P 0.05),among which existed high-high, low-high and high-low types of auto-correlation model. The results of SaTScan statistics was the same as local spatial auto-correlation analysis and showed the existence of one cluster area. Conclusions There are local spatial auto-correlation and spatial aggregation of advanced schistosomiasis in Anxiang County. According to the distribution characteristics,we can assign resource more reasonably and control schistosomiasis more effectively.
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