中国湖区五省血吸虫病聚集区域地理信息系统综合探测分析

赵飞; 朱蓉; 张丽娟; 张志杰; 李源培; 何明祯; 周艺彪; 郭家钢; 赵根明; 姜庆五

Abstract

赵飞,朱蓉,张丽娟,张志杰,李源培,何明祯,周艺彪,郭家钢,赵根明,姜庆五.中国湖区五省血吸虫病聚集区域地理信息系统综合探测分析[J].Chinese journal of Epidemiology,2010,31(11):1272-1275

中国湖区五省血吸虫病聚集区域地理信息系统综合探测分析

Integrated detection and analysis on the clusters of schistosomiasis based on geographic information system

Received:April 08, 2010

DOI：

KeyWord: 血吸虫病地理信息系统聚集区域

English Key Word: Schistosomiasis Geographic information system Cluster areas

FundProject:国家自然科学基金(30590374);国家科技重大专项(2008ZX1000M)11);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

Author Name	Affiliation	E-mail
ZHAO Fei	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
ZHU Rong	National Institute of Parasitic Disease, Chinese Center for Disease Control and Prevention
ZHANG Li-juan	National Institute of Parasitic Disease, Chinese Center for Disease Control and Prevention
ZHANG Zhi-jie	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
LI Yuan-pei	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
HE Ming-zhen	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
ZHOU Yi-biao	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
GUO Jia-gang	National Institute of Parasitic Disease, Chinese Center for Disease Control and Prevention
ZHAO Gen-ming	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China
JIANG Qing-wu	Department of Epidemiology,School of Public Health,Fudan University,Key Laboratory on Public Health Safety,Ministry of Education, Shanghai 200032, China	jiangqw@fudan.edu.cn

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Abstract:

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’s1、局部空间自相关Getis-OrdGi与SaTScan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(PC0.05), 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。

English Abstract:

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 之-score outcomes as calculated by Getis-Ord Gi indicated high cluster that 50 clusters were categorized at the 0.05 significance level and the 2-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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