Zhao Fei, Zhu Rong, Zhang Li-Juan, Zhang Zhi-Jie, Li Yuan-Pei, He Ming-Zhen, Zhou Yi-Biao, Guo Jia-Gang, Zhao Gen-Ming, Jiang Qing-Wu
Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory on Public Health Safety, Ministry of Education, Shanghai 200032, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2010 Nov;31(11):1272-5.
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.
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 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.
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.
基于地理信息系统（GIS）检测并分析2008年沼泽地和湖区血吸虫病聚集区，为相关疾病聚集区检测综合方法的发展提供建议。
运用全局空间自相关的Moran's I、局部空间自相关的Getis-Ord Gi及空间扫描统计量（SaTScan）基于GIS检测血吸虫病聚集区，并对不同方法的结果进行比较。
所有与血吸虫病相关的沼泽地和湖区的全局Moran's I检验结果具有统计学意义（P < 0.05），表明存在空间异质性；Getis-Ord Gi计算的z得分结果显示高聚集区，在0.05显著性水平下划分出50个聚集区，其中45个聚集区的z得分大于0。空间扫描统计量（SaTScan）统计结果与局部空间自相关结果相似，几乎显示出5个聚集区的存在。
血吸虫病流行聚集区的地理分布表明，其与长江中下游地区密切相关，特别是许多聚集区位于湖北和湖南的边界附近。
