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2016-2020年甘肃省流行性感冒时间风险特征时空分布
引用本文:刘海霞,杨筱婷,张宏,刘新凤.2016-2020年甘肃省流行性感冒时间风险特征时空分布[J].疾病监测,2022,37(1):62-66.
作者姓名:刘海霞  杨筱婷  张宏  刘新凤
作者单位:甘肃省疾病预防控制中心传染病防制所,甘肃 兰州 730000
基金项目:甘肃省卫生行业科研管理(No.GSWSKY-2019-83)
摘    要:目的 了解2016-2020年甘肃省流行性感冒(流感)的时空分布特征,评估防控措施实施效果.方法 收集甘肃省87个县(区)每周流感数据进行空间扫描分析,采用空间自相关方法对流感的时间风险特征指数(频率指数、持续时间指数和强度指数)进行空间统计分析.结果 共报告病例46043例,年均发病率35.09/10万.2016-2...

关 键 词:流行性感冒  时间风险特征指数  时空分布
收稿时间:2021-05-26

Spatiotemporal distribution of influenza temporal risk characteristics in Gansu
Liu Haixia,Yang Xiaoting,Zhang Hong,Liu Xinfeng.Spatiotemporal distribution of influenza temporal risk characteristics in Gansu[J].Disease Surveillance,2022,37(1):62-66.
Authors:Liu Haixia  Yang Xiaoting  Zhang Hong  Liu Xinfeng
Institution:Division of Infectious Disease, Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, Gansu, China
Abstract:  Objective  To understand the spatiotemporal distribution of influenza in Gansu province and evaluate the effects of influenza prevention and control measures.  Methods  The incidence data of influenza in 87 counties of Gansu from 2016 to 2020 were collected for spatial scanning analysis, and the temporal risk characteristic index (frequency index, duration index and intensity index) of influenza was analyzed by spatial autocorrelation method.  Results  A total of 46 043 cases of influenza were reported in Gansu from 2016 to 2020, with an average annual incidence rate of 35.09/100 000. The areas with high incidence of influenza in Gansu from 2016 to 2020 might be in Dingxi and Tianshui. The frequency index, duration index and intensity index of influenza were 0.58, 5.73 and 10.49 respectively. The global autocorrelation showed that the frequency index and intensity index had positive spatial autocorrelation, and local autocorrelation showed that the hot spots of frequency index and intensity index were mainly in Dingxi.  Conclusion  The incidence of influenza in Gansu showed spatiotemporal clustering. Dingxi was a high-risk area of influenza, and the prevention and control measures in different risk areas had different effects.
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