| 陈想想,施阳,陆一涵,陈越火,陈恺韵,任宏.上海市2006-2016年戊型病毒性肝炎的时空分布特征分析[J].Chinese journal of Epidemiology,2018,39(7):971-976 |
| 上海市2006-2016年戊型病毒性肝炎的时空分布特征分析 |
| Spatial-temporal distribution characteristics of hepatitis E in Shanghai, 2006-2016 |
| Received:November 05, 2017 |
| DOI：10.3760/cma.j.issn.0254-6450.2018.07.020 |
| KeyWord: 戊型肝炎 空间聚集 时空分布 |
| English Key Word: Hepatitis E Space clustering Spatial-temporal distribution |
| FundProject:国家自然科学基金面上项目（81370081）；第四轮公共卫生三年行动计划（GWTD2015S05） |
| Author Name | Affiliation | E-mail | | Chen Xiangxiang | Key Laboratory for Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China | | | Shi Yang | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China | | | Lu Yihan | Key Laboratory for Public Health Safety, School of Public Health, Fudan University, Shanghai 200032, China | | | Chen Yuehuo | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China | | | Chen Kaiyun | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China | | | Ren Hong | Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China | renhong@scdc.sh.cn |
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| Abstract: |
| 目的 分析2006－2016年上海市戊型病毒性肝炎（戊肝）空间聚集性和时空分布特征，为戊肝防控工作提供依据。方法 戊肝发病数据和医疗机构诊疗信息来源于中国疾病预防控制信息系统。地理信息数据来源于上海市测绘院提供，地图比例为1∶750 000。采用ArcGIS 10.1软件对戊肝发病数据的空间聚集性进行全局和局部自相关分析，采用SaTScan 9.4.4软件对戊肝发病数据的时空聚集性进行时空扫描分析。结果 2006－2016年上海市累计报告戊肝病例6 048例，年均发病率为2.14/10万。空间自相关分析显示，戊肝发病率存在空间正相关，“高-高”聚集区域主要位于上海市中心城区，发病率存在明显的时空聚集性特征。结论 掌握2006－2016年上海市戊肝发病数据的空间分布特点、时空聚集区域等时空分布特征，对于合理配置公共卫生资源、有效预防和控制戊肝，有重要的公共卫生学意义。 |
| English Abstract: |
| Objective To understand the epidemiologic characteristics and spatial-temporal distribution of hepatitis E in Shanghai between 2006 and 2016. Methods The reported incidence of hepatitis E and health facilities' information between 2006 and 2016 were collected from the China Information System for Disease Control and Prevention. The geographic information were from Shanghai Surveying and Mapping Institute. The map scale was 1:750 000. Global and local autocorrelation, and spatial-temporal detection methods were applied to determine the spatial-temporal characteristics of hepatitis E. Software ArcGIS 10.1 was used to analyze global and local spatial auto correlation of hepatitis E spatial clusters. Software SaTScan 9.4.4 was used to conduct scan for exploring the areas of hepatitis E temporal spatial clusters. Results A total of 6 048 cases of hepatitis E were reported in Shanghai during 2006-2016. The average incidence was 2.14/100 000. Spatial auto correlation analysis indicated that there was significant spatial positive correlations and spatial-temporal clustering of hepatitis E in Shanghai, and the "high-high cluster" was mainly located in the downtown of the city. Conclusion Understanding the spatial-temporal clustering areas of hepatitis E cases in Shanghai from 2006 to 2016 is important to the reasonable allocation of public health resources and effective prevention and control of hepatitis E. |
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