中华流行病学杂志
中華流行病學雜誌
중화류행병학잡지
CHINESE JOURNAL OF EPIDEMIOLOGY
2010年
11期
1272-1275
,共4页
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
趙飛%硃蓉%張麗娟%張誌傑%李源培%何明禎%週藝彪%郭傢鋼%趙根明%薑慶五
조비%주용%장려연%장지걸%리원배%하명정%주예표%곽가강%조근명%강경오
血吸虫病%地理信息系统%聚集区域
血吸蟲病%地理信息繫統%聚集區域
혈흡충병%지리신식계통%취집구역
Schistosomiasis%Geographic information system%Cluster areas
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.
目的 綜閤探測2008年中國湖區5省血吸蟲病傳播的聚集區域,為血吸蟲病防治提供依據,也為相關疾病聚集區域探測方法的建立提供參攷.方法 基于縣級地理信息繫統(GIS)基礎上構建空間數據庫,運用全跼空間自相關Moran's I、跼部空間自相關Getis-Ord Gj與SaTScarn軟件綜閤探測血吸蟲病聚集區域,併對結果進行比較.結果 全跼空間自相關結果提示從整體研究區域來看,血吸蟲病感染率分佈呈現空間聚集性(P＜0.05);跼部空間自相關結果提示有50箇縣(區)的跼部空間自相關結果有統計學意義(P＜0.05),且z值均＞0,提示存在高值聚集;SaTScan統計結果探測齣5箇聚集區域,與跼部空間自相關的結果較為吻閤.結論 湖區5省沿江地區仍然是中國血吸蟲病防治的重點,尤以湖北、湖南兩省交界地帶空間聚集性最高、範圍最大.
목적 종합탐측2008년중국호구5성혈흡충병전파적취집구역,위혈흡충병방치제공의거,야위상관질병취집구역탐측방법적건립제공삼고.방법 기우현급지리신식계통(GIS)기출상구건공간수거고,운용전국공간자상관Moran's I、국부공간자상관Getis-Ord Gj여SaTScarn연건종합탐측혈흡충병취집구역,병대결과진행비교.결과 전국공간자상관결과제시종정체연구구역래간,혈흡충병감염솔분포정현공간취집성(P＜0.05);국부공간자상관결과제시유50개현(구)적국부공간자상관결과유통계학의의(P＜0.05),차z치균＞0,제시존재고치취집;SaTScan통계결과탐측출5개취집구역,여국부공간자상관적결과교위문합.결론 호구5성연강지구잉연시중국혈흡충병방치적중점,우이호북、호남량성교계지대공간취집성최고、범위최대.
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.
