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2005-2021年河南省人间布鲁氏菌病流行特征与时空分布分析 被引量:10

Epidemic characteristics and spatiotemporal distribution analysis of human brucellosis in Henan Province,2005-2021
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摘要 目的分析河南省人间布鲁氏菌病(简称布病)的流行特征和时空特征。方法通过中国疾病预防控制信息系统收集2005-2021年河南省人间布病病例资料,采用描述流行病学方法分析河南省布病疫情概况及三间分布特征;分别采用全局和局部空间自相关分析河南省布病空间分布规律和发病热点地区,并采用时空扫描分析河南省布病时空聚集区域。结果2005-2021年河南省累计报告布病病例39862例,年均发病率为2.44/10万,各年发病人数整体呈上升趋势(χ^(2)趋势=11127.85,P=0.001)。发病月份主要集中在3-7月,共占59.00%(23517/39862),5月为发病峰值(5478例)。全省157个县(市、区)均有布病病例报告。男、女性别比为2.52∶1.00(28542/11320);职业以农民为主,共32985例(82.75%);发病年龄主要集中在45~65岁,共20226例(50.74%)。全局空间自相关分析显示,除2006-2008年外,其余年份全局莫兰指数均>0,均Z>1.96,均P<0.05,均呈空间聚集性;进一步进行局部空间自相关分析,2012-2021年均存在高-高和低-低聚集区(均P<0.01)。时空扫描分析显示,高发病人数区存在1个时空聚集区,低发病人数区存在2个时空聚集区;高发聚集区以内乡县为中心,覆盖了嵩县、汝州市等48个县(市、区),聚集时间为2014-2021年;2个低发聚集区分别以永城市、博爱县为中心,分别覆盖了58和18个县(市、区),聚集时间分别为2016-2021、2005-2012年。结论2005-2021年河南省布病发病人数整体呈上升趋势,发病人群以中老年男性农民为主,且河南省存在布病时空聚集区域。 Objective To analyze the epidemiological characteristics and spatiotemporal characteristics of human brucellosis in Henan Province.Methods Data of human brucellosis in Henan Province from 2005 to 2021 were collected through the China Disease Prevention and Control Information System,and a descriptive epidemiological method was used to analyze the epidemic profile of brucellosis in Henan Province and the three distribution characteristics.Global and local spatial autocorrelation were used to analyze the spatial distribution and the hot spots of brucellosis in Henan Province,respectively,and spatiotemporal scanning was used to analyze the spatiotemporal clustering regions of brucellosis in Henan Province.Results A total of 39862 brucellosis cases were reported in Henan Province from 2005 to 2021,with an average annual incidence of 2.44/100000,and the number of cases showed an overall increasing trend each year(χ^(2)trend=11127.85,P=0.001).The onset months were mainly concentrated from March to July,accounting for 59.00%(23517/39862),with May as the peak(5478 cases).Cases of brucellosis were reported in 157 counties(cities,districts)of the province.The ratio of male to female was 2.52∶1.00(28542/11320).Farmers were the main occupation,with 32985 cases(82.75%).The age of onset was mainly 45 to 65 years old,with 20226 cases(50.74%).The global spatial autocorrelation analysis showed that the global Moran's I was>0,Z>1.96,and P<0.05 in all years except 2006-2008,showing spatial clustering.Further local spatial autocorrelation analysis was performed,and high-high and low-low clustering areas existed in 2012-2021(P<0.01).Spatiotemporal scanning analysis showed that there was one spatiotemporal cluster in the high incidence area and two spatiotemporal clusters in the low incidence area.The high incidence cluster was centered in Neixiang County,covering 48 counties(cities,districts)including Song County and Ruzhou City,and the aggregation time was from 2014 to 2021.The two low incidence clusters were centered in Yongcheng City and Boai County,covering 58 and 18 counties(cities,districts),respectively,and the aggregation time was 2016-2021 and 2005-2012,respectively.Conclusion The overall incidence of brucellosis in Henan Province is on the rise from 2005 to 2021,with middle-aged and elderly male farmers as the main affected population,and there are spatiotemporal clusters of brucellosis in Henan Province.
作者 索文帅 裴书君 王笑阳 陈泽倩 易志杰 吕家锐 张白帆 叶莹 黄学勇 Suo Wenshuai;Pei Shujun;Wang Xiaoyang;Chen Zeqian;Yi Zhijie;Lyu Jiarui;Zhang Baifan;Ye Ying;Huang Xueyong(Department of Epidemiology and Health Statistics,School of Public Health,Zhengzhou University,Zhengzhou 450001,China;Department of Epidemiology and Health Statistics,School of Public Health,Xinxiang Medical College,Xinxiang 453003,China;Institute for Infectious Disease Control and Prevention,Henan Provincial Center for Disease Control and Prevention,Zhengzhou 450018,China)
出处 《中华地方病学杂志》 CAS 北大核心 2023年第7期540-547,共8页 Chinese Journal of Endemiology
基金 国家自然科学基金(81773500) 河南省中青年卫生健康科技创新领军人才培养项目(YXKG2020006) 河南省青年人才托举工程项目(2021HYTP049)。
关键词 布鲁杆菌病 流行特征 空间自相关 时空扫描 Brucellosis Epidemic characteristics Spatial autocorrelation Spatiotemporal scanning
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