文章摘要
甘虹,张一,袁敏,伍晓艳,刘志荣,刘蒙,吴家兵,许韶君,龚磊,徐洪吕,陶芳标.1052例新型冠状病毒肺炎聚集性病例流行病学特征分析[J].中华流行病学杂志,,():
1052例新型冠状病毒肺炎聚集性病例流行病学特征分析
Epidemiological analysis on 1 052 cases of COVID-19 in epidemic clusters
收稿日期:2020-03-01  出版日期:2020-03-26
DOI:10.3760/cma.j.cn112338-20200301-00223
中文关键词: 新型冠状病毒肺炎;聚集性;流行病学
英文关键词: COVID-19;Clustering;Epidemiology
基金项目:安徽医科大学新型冠状病毒感染的肺炎疫情应急科研攻关项目(YJGG202001);安徽省科技厅、安徽省卫生健康委员会应急科研攻关项目(202004a07020002)
作者单位E-mail
甘虹 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
张一 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
袁敏 安徽医科大学卫生管理学院卫生健康大数据分析中心, 合肥 230032  
伍晓艳 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
刘志荣 安徽省疾病预防控制中心公共卫生应急与传染病防治科, 合肥 230061  
刘蒙 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
吴家兵 安徽省疾病预防控制中心公共卫生应急与传染病防治科, 合肥 230061  
许韶君 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
龚磊 安徽省疾病预防控制中心公共卫生应急与传染病防治科, 合肥 230061  
徐洪吕 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032  
陶芳标 安徽医科大学公共卫生学院儿少卫生与妇幼保健学系出生人口健康教育部重点实验室国家卫生健康委被子及生殖道异常研究重点实验室, 合肥 230032 fbtao@ahmu.edu.cn 
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中文摘要:
      目的 了解新型冠状病毒肺炎聚集性病例的流行病学特征,探讨家庭因素以及集体活动等对本病传播的影响。方法 于2020年1月19日至2月25日每日从中国6个省份公布聚集性病例的36个地市官方平台收集积聚性病例数量、个案信息,采用描述性统计方法、χ2检验以及曲线拟合对聚集性病例的流行病学特征进行分析。结果 共收集聚集性病例366起1 052例,家庭聚集性病例占86.9%(914/1 052);1 046例有性别信息的聚集性病例中,男性513例(49.0%),女性533例(51.0%);病例以18~59岁青壮年为主,占68.5%(711/1 038)。在366起聚集性疫情中,有47.0%(172/366)聚集性疫情的首例确诊病例曾有武汉市或湖北省旅居史。1月19日至2月3日,首例确诊病例有武汉市或湖北省旅居史占66.5%;2月4-25日聚集性病例首例确诊病例有武汉市或湖北省旅居史仅占18.2%。一代病例与二代病例发病时间间隔M为5(2~8)d,首发病例的发病—确诊时间间隔M为6(3~9)d,续发病例的发病—确诊时间间隔M为5(3~8) d。结论 聚集性疫情在武汉市和湖北省以外多地市普遍出现,家庭密切接触是造成家庭内传播的主要原因之一。2月4日后聚集性病例以当地一代或二代以后的病例传播为主,确诊时间缩短。
英文摘要:
      Objective To understand the epidemiological characteristics of the cases of COVID-19 epidemic clusters, and explore the influence of family factors and social factors such as group activities on the spread of the disease. Methods The data of cases of COVID-19 epidemic clusters from 19 January, 2020 to 25 February, 2020 were collected from the official platforms of 36 cities in 6 provinces in China. Descriptive statistical methods, χ2 test and curve fitting were used to analyze the epidemiological characteristics of the clustered cases. Results By 25 February, 2020, the data of 1 052 cases in 366 epidemic clusters were collected. In these clustered cases, 86.9%(914/1 050) occurred in families. Among the 1 046 cases with gender information, 513 were males (49.0%) and 533 were females (51.0%). The cases were mainly young adults between 18 and 59 years old, accounting for 68.5% (711/1 038). In the 366 epidemic clusters, the clusters in which the first confirmed cases with the history of sojourn in Wuhan or Hubei accounted for 47.0%(172/366). From 19 January to 3 February, 2020, the first confirmed cases with Wuhan or Hubei sojourn history accounted for 66.5%. From 4 to 25 February, the first confirmed cases who had Wuhan or Hubei sojourn history accounted for only 18.2%. The median of interval between the first generation case onset and the second generation case onset was 5 (2-8) days. The median of onset- diagnosis interval of the initial cases was 6 (3-9) days, and the median of onset-diagnosis interval of the secondary cases was 5 (3-8) days. Conclusions Epidemic clusters of COVID-19 were common in many cities outside Wuhan and Hubei. Close contact in family was one of the main causes for the spread of household transmission of the virus. After 4 February, the epidemic clusters were mainly caused by the first generation or second generation cases in local areas, and the time for diagnosis became shorter.
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