| 2014-2019年成都地区诺如病毒聚集性疫情时空分布特征分析 |
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| 引用本文： | 陈恒,程悦,吴佳隆,孟建彤,戴映雪,杜长慧,陈振华,黄韦唯,速丽媛,梁娴.2014-2019年成都地区诺如病毒聚集性疫情时空分布特征分析[J].疾病监测,2021,36(10):1063-1068. |
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| 作者姓名： | 陈恒 程悦 吴佳隆 孟建彤 戴映雪 杜长慧 陈振华 黄韦唯 速丽媛 梁娴 |
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| 作者单位： | 中国医学科学院成都新发突发传染病防治工作站,四川成都610041;成都市疾病预防控制中心,四川成都610041;四川大学华西公共卫生学院,四川成都610041 |
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| 基金项目： | 中国医学科学院中央级公益性科研院所基本科研业务费专项（No. 2020-PT330-005）；四川省卫生和计划生育委员会重点课题（No. 17ZD046）；四川省人社厅项目（No. 川人社［2017］919号）；成都市卫计委项目（No. 2017015） |
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| 摘 要： | 目的 应用地理信息系统（GIS）对成都地区诺如病毒聚集性疫情进行时空分布特征分析，为诺如病毒疫情防控提供依据。 方法 以成都地区2014 — 2019年聚集性疫情病例资料建立数据库，利用GIS软件与成都地区矢量地图关联，应用集中度法与圆形分布法分析疫情时间聚集性，Moran’s Ⅰ 法分析空间自相关。 结果 成都地区诺如病毒聚集性疫情M值为0.3927872，具有一定时间聚集性，冬季高于其他季节，夏季最低；不同型别的平均发病日与发病高峰期不同，时间集中于11月至次年3月。 空间分布呈现中心城区高于郊区特点，不同季节“热点”与“冷点”区域不同。 结论 成都地区诺如病毒聚集性疫情时空聚集性显著，应关注重点区域开展防控。
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| 关 键 词： | 诺如病毒 暴发 时空分布 |
| 收稿时间： | 2021-05-08 |
Spatiotemporal distribution of norovirus infection outbreaks in Chengdu |
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| Institution: | 1.Chengdu Workstation for Emerging Infectious Disease Control and Prevention, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, China2.Chengdu Municipal Center for Disease Control and Prevention, Chengdu 610041, Sichuan, China3.West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, Sichuan, China |
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| Abstract: | Objective To analyze the spatiotemporal distribution of norovirus infection outbreaks in Chengdu with the geographic information system (GIS) and provide evidence for the prevention and control of norovirus infection. Methods A database of the outbreaks of norovirus infection in Chengdu from 2014 to 2019 was established. The concentration ratio and circular distribution method were used to analyze the temporal clustering of the epidemic, and the Moran’s Ⅰ method was used to analyze spatial autocorrelation. Results The M value of norovirus outbreaks in Chengdu was 0.3927872, which showed the temporal clustering of norovirus infection with higher incidence in winter and the incidence peak during November - March. The incidence was higher in central urban area than in suburban area, with different “hot spot” or “cold spot” in different seasons. Conclusion There was obvious spatiotemporal clustering of norovirus infection outbreaks in Chengdu, suggesting that the prevention and control of norovirus infection should be strengthened in key area and period. |
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