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叶莹, 范威, 王海峰, 潘静静, 王文华, 王博昊, 黄学勇, 郭万申. 河南省新型冠状病毒肺炎聚集性疫情流行病学特征分析[J]. 中国公共卫生, 2020, 36(4): 465-468. DOI: 10.11847/zgggws1128641
引用本文: 叶莹, 范威, 王海峰, 潘静静, 王文华, 王博昊, 黄学勇, 郭万申. 河南省新型冠状病毒肺炎聚集性疫情流行病学特征分析[J]. 中国公共卫生, 2020, 36(4): 465-468. DOI: 10.11847/zgggws1128641
Ying YE, Wei FAN, Hai-feng WANG, . Clustering of 2019 novel coronavirus disease epidemic in Henan province[J]. Chinese Journal of Public Health, 2020, 36(4): 465-468. DOI: 10.11847/zgggws1128641
Citation: Ying YE, Wei FAN, Hai-feng WANG, . Clustering of 2019 novel coronavirus disease epidemic in Henan province[J]. Chinese Journal of Public Health, 2020, 36(4): 465-468. DOI: 10.11847/zgggws1128641

河南省新型冠状病毒肺炎聚集性疫情流行病学特征分析

Clustering of 2019 novel coronavirus disease epidemic in Henan province

  • 摘要:
      目的  对河南省报告的新型冠状病毒肺炎聚集性疫情流行病学特征进行描述与分析。
      方法  选取截至2020年2月25日,河南省突发公共卫生事件管理信息系统报告的新型冠状病毒肺炎聚集性疫情,结合传染病报告卡、个案调查和调查报告,分析其流行病学特征。
      结果  河南18个市的103个县(区)共报告新型冠状病毒肺炎聚集性疫情256起,占全省总县(区)的59.88 % ,涉及病例790例,其中708例为确诊病例(89.62 %),82例无症状感染者(10.38 %);输入病例269例(34.05 %),本地病例521例(65.95 %)。2月3 — 4日报告起数达到顶峰,报告聚集性疫情较多的地市为信阳、郑州、南阳、驻马店和商丘。聚集性疫情规模分别为2~4例222起(86. 72 %)、5~9例27起(10.5 %)、≥ 10例7起(2.73 %)。聚集性疫情以家庭聚集为主(202起,占78.90 %),不同类型聚集性疫情均以本地病例为主;中位潜伏期为7 d。
      结论  新型冠状病毒传播力较强,容易造成较大范围的聚集性疫情,早期采取联防联控,各部门多措并举,严格落实有效的防控措施是聚集性疫情防控的关键。

     

    Abstract:
      Objectives  To analyze clustering characteristics of 2019 novel coronavirus disease (COVID-19) epidemic in Henan province.
      Methods  The information on all COVID-19 cases registered in Henan Province Public Health Emergency Management Information System from January 23 to February 25, 2020 were collected from case reporting cards and reports for surveys on individual and clustering incidence and analyzed with descriptive statistics.
      Results  Totally 256 clusterings of COVID-19 cases were identified in 103 counties/districts of 18 prefectures across Henan province, involving 59.88% of all the cases reported during the period. Of the 790 cluster cases, 708 (89.62%) were confirmed cases and 82 (10.38%) were asymptomatic infections; 269 (34.05%) were imported cases and 521 (65.95%) were cases with local infection. The highest number of clusterings were reported during 3 – 4 February, 2020 and more clusterings were identified in the 5 prefectures of the province. Among the cluster epidemics identified, 222 (86.72%) involved 2 – 4 cases; 27 (10.5%) involved 5 – 9 cases, and 7 (2.73%) involved 10 or more cases. The majority (222, 78.90%) of the identified cluster epidemics occurred in family settings and mainly involved non-imported cases. The median of incubation period in 7 days.
      Conclusion  The 2019 novel coronavirus is of high contagiosity and could cause large-scale cluster epidemic. Comprehensive measures should be adopted early to prevent the transmission of the virus.

     

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