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作 者:王超[1] 张翔[1] 朱中奎[1] 解燕[1] 肖辉 唐万琴[1] WANG Chao;ZHANG Xiang;ZHU Zhong-kui;XIE Yan;XIAO Hui;TANG Wan-qin(Immunization Planning Section,Taizhou Center for Disease Control and Prevention,TaiZhou 225300,China)
机构地区:[1]江苏省泰州市疾病预防控制中心免疫规划科,泰州225300
出 处:《中华疾病控制杂志》2019年第3期273-277,共5页Chinese Journal of Disease Control & Prevention
摘 要:目的分析泰州市2009-2017年麻疹发病空间流行病学特征,为麻疹防制提供理论依据。方法用ArcGIS 10.0软件对泰州市2009-2017年麻疹数据进行空间自相关性分析、趋势面分析,对泰州市麻疹疫情的动态趋势及变化特征进行综合分析。结果泰州市2009-2017年麻疹发病率处于0.83~65.43/100万之间。全局自相关分析发现,2012年、2013年、2015年、2016年泰州市麻疹发病率存在空间相关性,且为高值聚集性分布。局部自相关分析发现2009-2017年泰州市麻疹发病热点区域主要集中在泰州市中部乡镇。趋势面分析发现泰州市麻疹疫情2010年南部地区高于北部地区,2013年、2015年中部地区高于东西、南北地区。结论根据空间分析,2009-2017年泰州市麻疹发病空间分布存在自相关,中部乡镇存在发病热点区域。针对这些特点,应该采取针对性的预防措施。Objective To analyze the spatial epidemiological characteristics of measles in Taizhou from 2009 to 2017,so as to provide theoretical basis for measles prevention and control.Methods The spatial autocorrelation analysis and trend surface analysis of measles epidemics data from 2009 to 2017 in Taizhou were performed using ArcGIS 10.0 software.The dynamic characteristics of measles epidemics in Taizhou were analyzed.Results Among 2009-2017 years,the incidences of measles in Taizhou ranged from 0.83/1 million to 65.43/1 million.The results of global autocorrelation analysis showed that there were spatial correlations of the incidence of measles among 2012,2013,2015,and 2016 in Taizhou with a high-value clustering distribution.Local autocorrelation analysis indicated that the hot spots of measles incidence in Taizhou from 2009 to 2017 were mainly concentrated in the central towns of Taizhou.Trend surface analysis suggested that the measles incidence in the south towns of Taizhou was higher than that in the north in 2010,and the incidence in the central region was higher than those in other regions in 2013 and 2015.Conclusions According to the spatial analysis,autocorrelation was observed for the spatial distribution of measles incidence in Taizhou from 2009 to 2017,and there are hot spots in the central township.Targeted preventive measures should be taken based on these characteristics.
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