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南昌市新型冠状病毒肺炎聚集性疫情流行病学分析
引用本文:程文娟1,樊国印1,谢许情1,万民君2,余泳3,熊华宏4,王蓉5,魏贵英6,彭时辉1,路亮1,童小琴1,吴景文1. 南昌市新型冠状病毒肺炎聚集性疫情流行病学分析[J]. 现代预防医学, 2020, 0(20): 3676-3678
作者姓名:程文娟1  樊国印1  谢许情1  万民君2  余泳3  熊华宏4  王蓉5  魏贵英6  彭时辉1  路亮1  童小琴1  吴景文1
作者单位:1.传染病预防控制国家重点实验室研究基地/江西省动物源与媒介生物性传染病重点实验室/南昌市疾病预防控制中心,江西 南昌 330038;2.南昌县疾病预防控制中心,江西 南昌 330200;3.进贤县疾病预防控制中心,江西 南昌331700;4.南昌国家高新技术产业开发区公共卫生服务中心,江西 南昌 330029;5.西湖区疾病预防控制中心,江西 南昌 330009;6.青山湖区疾病预防控制中心,江西 南昌330029
摘    要:目的 对南昌市新型冠状病毒肺炎(COVID - 19)聚集性疫情流行病学特征进行描述性分析,为制定防控策略提供参考。 方法 结合流行病学调查和轨迹大数据分析,分析聚集性疫情的流行病学特征。结果 南昌市共发现聚集性疫情45起,关联病例总数176例,占南昌市报告病例总数(248例)的71.0%,主要分布在40~49岁(31.8%),职业以商业服务(27.8%)为主,确诊病例发病高峰在2020年1月25日;33起(73.3%)疫情为外地输入性疫情,12起(26.7%)为本地感染疫情;传播方式以家庭内传播和聚餐传播为主;10起(22.2%)不明原因疫情借助轨迹大数据分析发现了可能的感染来源。结论 南昌市COVID - 19病例以聚集性病例为主,疫情防控期间应控制人员聚集及流动。

关 键 词:新型冠状病毒肺炎  聚集  流行病学分析

Epidemiological analysis on clustering epidemics of COVID-19 in Nanchang
CHENG Wen-juan,FAN Guo-yin,XIE Xu-qing,WAN Min-jun,YU Yong,XIONG Hua-hong,WANG Rong,WEI Gui-ying,PENG Shi-hui,LU Liang,TONG Xiao-qin,WU Jing-wen. Epidemiological analysis on clustering epidemics of COVID-19 in Nanchang[J]. Modern Preventive Medicine, 2020, 0(20): 3676-3678
Authors:CHENG Wen-juan  FAN Guo-yin  XIE Xu-qing  WAN Min-jun  YU Yong  XIONG Hua-hong  WANG Rong  WEI Gui-ying  PENG Shi-hui  LU Liang  TONG Xiao-qin  WU Jing-wen
Affiliation:*Collaboration Unit for Field Epidemiology of State Key Laboratory for Infectious Disease Control and Prevention, Jiangxi Provincal Key Laboratory of Animal-origin and Vectorborne Diseases, Nanchang Center for Disease Control and Prevention., Nanchang, Jiangxi 330038, China
Abstract:Objective To describe the epidemiological characteristics of clusters of COVID-19 in Nanchang, and to provide reference for prevention and control strategy. Methods Epidemiological characteristics were analyzed using epidemiological investigation and trajectory analysis based on big data. Results A total of 176 cases were associated with 45 clusters,accounting for 71.0% of the total reported cases(248 cases) in Nanchang. The cases were mainly at the age between 40 years and 49 years(31.8%) and business services(27.8%). The incidence curve showed that the incidence peak of confirmed cases occurred on 25 January, 2020. Among the 45 clusters, 33(73.3%) were imported, and 12(26.7%) were local. The main mode of transmission was family and dinner. Possible infection sources of 10(22.2%) unexplained clusters were identified through the trajectory analysis. Conclusion The cases of COVID-19 in Nanchang were mainly clustered, and the aggregation and movement of population should be controlled during the epidemics.
Keywords:COVID-19  Cluster  Epidemiological analysis
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