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2015-2020年山东省烟台市发热伴血小板减少综合征空间分布特征研究 被引量:2

Spatial distribution characteristics of severe fever with thrombocytopenia syndrome in Yantai City of Shandong Province from 2015 to 2020
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摘要 目的:分析山东省烟台市发热伴血小板减少综合征(SFTS)疫情的空间分布特征及空间聚集性,为制定有效的SFTS防控措施提供依据。方法:收集"中国疾病预防控制信息系统传染病监测报告系统"中2015-2020年山东省烟台市各乡镇(街道)的SFTS确诊病例资料,采用ArcGIS 10.2软件进行空间自相关分析。结果:2015-2020年,烟台市共报告SFTS病例839例,其中死亡病例124例,年均发病率为2.14/10万,总病死率为14.78%。全局空间自相关分析显示,2015-2020年烟台市SFTS病例分布呈空间正相关性,其中2015年病例分布的空间相关性最高(Moran′s I=0.25,Z=5.66,P<0.001),2018年最低(Moran′s I=0.16,Z=3.69,P<0.001)。局部空间自相关及热点分析显示,2015-2020年烟台市SFTS发病流行区主要在莱州市、蓬莱区、栖霞市、招远市、海阳市的部分山区、丘陵乡镇。结论:烟台市SFTS疫情分布具有明显的地区聚集性,应在高发地区强化宣传教育、监测等干预措施,减少疾病的发生。 Objective To analyze the spatial distribution characteristics and spatial aggregation of the epidemic of severe fever with thrombocytopenia syndrome(SFTS)in Yantai City of Shandong Province,and to provide basis for formulating effective SFTS prevention and control measures.Methods The epidemic data of SFTS confirmed cases in each township(street)in Yantai City,Shandong Province from 2015 to 2020 were collected from the"China Disease Prevention and Control Information System Infectious Disease Monitoring and Reporting System",and ArcGIS 10.2 software was used for spatial autocorrelation analysis.Results From 2015 to 2020,a total of 839 SFTS cases were reported in Yantai City,including 124 deaths;with an average annual incidence rate of 2.14/100000,and a total case fatality rate of 14.78%.Global spatial autocorrelation analysis showed that the distribution of SFTS cases in Yantai City from 2015 to 2020 showed a positive spatial correlation,with the highest spatial correlation in 2015(Moran's I=0.25,Z=5.66,P<0.001),and the lowest in 2018(Moran's I=0.16,Z=3.69,P<0.001).Local spatial autocorrelation and hotspot analysis showed that the epidemic areas of SFTS were mainly in some mountainous and hilly townships(streets)of Laizhou City,Penglai District,Qixia City,Zhaoyuan City,and Haiyang City.Conclusions The distribution of SFTS epidemic in Yantai City has obvious regional clustering.Intervention measures such as publicity,education and monitoring should be strengthened in high-incidence areas to reduce the incidence of the disease.
作者 禹长兰 徐丽芳 刘秀玮 刘靖宇 侯舒婷 刘涛 Yu Changlan;Xu Lifang;Liu Xiuwei;Liu Jingyu;Hou Shuting;Liu Tao(Department of Infectious Disease,Yantai Center for Disease Control and Prevention of Shandong Province,Yantai 264003,China;Department of Infectious Disease,Zhaoyuan Center for Disease Control and Prevention of Shandong Province,Zhaoyuan 265400,China)
出处 《中华地方病学杂志》 CAS 北大核心 2022年第7期540-545,共6页 Chinese Journal of Endemiology
基金 烟台市科技创新发展计划(2020YD061)。
关键词 发热伴血小板减少综合征 空间分布 空间自相关 Severe fever with thombocytopenia syndrome Spatial distribution Spatial autocorrelation
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