文章摘要
孙闪华,高志东,赵飞,张文义,赵鑫,李艳圆,李亚敏,洪峰,贺晓新,詹思延.北京市2005-2015年肺结核发病时空特征分析[J].中华流行病学杂志,2018,39(6):816-820
北京市2005-2015年肺结核发病时空特征分析
Spatial-temporal analysis on pulmonary tuberculosis in Beijing during 2005-2015
投稿时间:2017-10-16  
DOI:10.3760/cma.j.issn.0254-6450.2018.06.023
中文关键词: 结核;肺;空间自相关性;时空聚集分析
英文关键词: Tuberculosis;Pulmonary;Spatial autocorrelation;Spatial-temporal clustering
基金项目:首都卫生发展科研专项(首发2018-2-3021);北京市科技计划(D121100003012004)
作者单位E-mail
孙闪华 100191 北京大学公共卫生学院流行病学与卫生统计学系
100035 北京结核病控制研究所 
 
高志东 100035 北京结核病控制研究所  
赵飞 102206 北京, 中国疾病预防控制中心结核病预防控制中心  
张文义 100071 北京, 解放军疾病预防控制所  
赵鑫 100035 北京结核病控制研究所  
李艳圆 100035 北京结核病控制研究所  
李亚敏 100035 北京结核病控制研究所  
洪峰 100035 北京结核病控制研究所  
贺晓新 100035 北京结核病控制研究所 hexiaoxinbj@126.com 
詹思延 100191 北京大学公共卫生学院流行病学与卫生统计学系 siyan-zhan@bjmu.edu.cn 
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中文摘要:
      目的 在街道/乡镇水平上分析2005-2015年北京市肺结核发病的时空流行特征。方法 从结核病管理信息系统收集2005-2015年北京市肺结核发病数据,以地理信息系统和空间分析为基础,在街道/乡镇水平上采用全局空间自相关和局部空间自相关统计量(Moran's I)分析肺结核发病的空间聚集性,采用时空扫描统计分析时空聚集性。结果 在街道/乡镇水平上,北京市各年肺结核发病整体上呈现空间自相关性(Moran's I值均>0,均P<0.05),高-高发病聚集区为门头沟区的军庄镇、王平办事处、永定镇、潭柘寺镇,房山区的阎村镇,丰台区的王佐镇,西城区的天桥街道和顺义区的天竺镇8个街道/乡镇。时空扫描统计结果显示,一级聚集区主要分布在朝阳区和顺义区,覆盖17个街道/乡镇,分别为朝阳区的崔各庄、麦子店、东风、太阳宫、左家庄、和平街、小关、香河园、东坝、将台、望京、金盏、酒仙桥、来广营、孙河和顺义区的后沙峪、天竺等街道/乡镇;聚集时间为2005年1-12月。结论 2005-2015年北京市肺结核发病在街道/乡镇水平上呈现空间聚集性,且发病热点地区主要集中在中南部地区。
英文摘要:
      Objective To analyze the spatial distribution and identify the high risk areas of pulmonary tuberculosis at the township level in Beijing during 2005-2015.Methods Data on pulmonary tuberculosis cases was collected from the tuberculosis information management system. Global autocorrelation analysis, local indicators of spatial association and Kulldorff's Scan Statistics were applied to map the spatial distribution and detect the space-time clusters of the pulmonary tuberculosis cases during 2005-2015.Results Spatial analysis on the incidence of pulmonary tuberculosis at the township level demonstrated that the spatial autocorrelation was positive during the study period. The values of Moran's I ranged from 0.224 3 to 0.291 8 with all the P values less than 0.05. Hotspots were primarily distributed in 8 towns/streets as follows:Junzhuang, Wangping, Yongding and Tanzhesi in Mentougou district, Yancun in Fangshan district, Wangzuo town in Fengtai district, Tianqiao street in Xicheng district and Tianzhu town in Shunyi district. Spatiotemporal clusters across the entire study period were identified by using Kulldorff's spatiotemporal scan statistic. The primary cluster was located in Chaoyang and Shunyi districts, including 17 towns/streets, as follows:Cuigezhuang, Maizidian, Dongfeng, Taiyanggong, Zuojiazhuang, Hepingjie, Xiaoguan, Xiangheyuan, Dongba, Jiangtai, Wangjing, Jinzhan, Jiuxianqiao, Laiguangying, Sunhe towns/streets in Chaoyang district, Houshayu and Tianzhu town in Shunyi district, during January to December 2005.Conclusion Incidence rates of pulmonary tuberculosis displayed spatial and temporal clusterings at the township level in Beijing during 2005-2015, with high risk areas relatively concentrated in the central and southern parts of Beijing.
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