Abstract
任晓卫,白亚娜,刘新凤,李娟生,郑芸鹤,刘小宁,刘东鹏,申希平,胡晓斌,裴泓波,孟蕾.甘肃省2012年手足口病空间聚集性研究[J].Chinese journal of Epidemiology,2015,36(6):620-623
甘肃省2012年手足口病空间聚集性研究
Spatial clustering of hand-foot-mouth disease in Gansu,2012
Received:November 14, 2014  
DOI:10.3760/cma.j.issn.0254-6450.2015.06.018
KeyWord: 手足口病  空间自相关  空间扫描  空间聚集性
English Key Word: Hand-foot-mouth disease  Spatial autocorrelation  Spatial scanning  Spatial clustering
FundProject:国家科技重大专项(2012ZX10004-208); 甘肃省卫生行业科研计划项目(GSWST2012-06); 国家自然科学基金(81102205)
Author NameAffiliationE-mail
Ren Xiaowei School of Public Health, Lanzhou University, Lanzhou 730000, China  
Bai Yana School of Public Health, Lanzhou University, Lanzhou 730000, China  
Liu Xinfeng Gansu Provincial Center for Disease Control and Prevention  
Li Juansheng School of Public Health, Lanzhou University, Lanzhou 730000, China  
Zheng Yunhe Gansu Provincial Center for Disease Control and Prevention  
Liu Xiaoning School of Public Health, Lanzhou University, Lanzhou 730000, China  
Liu Dongpeng Gansu Provincial Center for Disease Control and Prevention  
Shen Xiping School of Public Health, Lanzhou University, Lanzhou 730000, China  
Hu Xiaobin School of Public Health, Lanzhou University, Lanzhou 730000, China  
Pei Hongbo School of Public Health, Lanzhou University, Lanzhou 730000, China  
Meng Lei Gansu Provincial Center for Disease Control and Prevention ccdcusc101@163.com 
Hits: 3278
Download times: 2344
Abstract:
      目的 探讨甘肃省2012年手足口病例的空间分布特征及空间聚集性.方法 采用空间自相关和空间扫描方法对2012年甘肃省手足口病监测的县(市、区)级层面数据进行空间统计分析. 结果 全局自相关发现2012年甘肃省手足口病发病呈显著的聚集性分布,局部自相关分析的发病“热点”区域为嘉峪关市、玉门市、敦煌市、金塔县、肃州区、城关区、安宁区、西固区和皋兰县;通过空间扫描统计得到4个有统计学意义的手足口病高发病率聚集区域. 结论 2012年甘肃省手足口病发病存在明显的空间聚集性,经空间自相关和空间扫描可较好分析出高发重点区域.
English Abstract:
      Objective The purpose of this study was to explore the spatial distribution and spatial clustering of hand-foot-mouth disease(HFMD) in Gansu,2012. Methods Spatial autocorrelation and Spatial scanning analysis were used to conduct spatial statistical analyses for the HFMD at the county/district level. Results HFMD cases did not show a random distribution but with significant spatial aggregation. When Local Autocorrelation analysis was applied at the county/district level,with nine hot spot areas as Jiayuguan,Yumen,Dunhuang,Jinta,Suzhou,Chengguan,Anning,Xigu and Gaolan,were discovered. Four statistically significant HFMD clusters were identified by spatial scan statistics. Conclusion HFMD was noticed geographically clustered in Gansu in 2012. Results from this study indicated that the spatial autocorrelation and spatial scanning analysis could effectively detect the areas which presenting significant clusters. Cluster Detection System(CDS) could provide evidence for the development of an effective measure concerning the prevention and control of HFMD.
View Fulltext   Html FullText     View/Add Comment  Download reader
Close