江初, 王菊光, 蔡伟, 张绍波, 应华清, 邢彦, 李海生, 李玉莲, 富继业, 北京市海淀区疾病预防控制中心新型冠状病毒肺炎应急处理组. 北京市海淀区新型冠状病毒肺炎确诊病例流行病学特征分析[J]. 疾病监测, 2020, 35(7): 602-607. DOI: 10.3784/j.issn.1003-9961.2020.07.011
引用本文: 江初, 王菊光, 蔡伟, 张绍波, 应华清, 邢彦, 李海生, 李玉莲, 富继业, 北京市海淀区疾病预防控制中心新型冠状病毒肺炎应急处理组. 北京市海淀区新型冠状病毒肺炎确诊病例流行病学特征分析[J]. 疾病监测, 2020, 35(7): 602-607. DOI: 10.3784/j.issn.1003-9961.2020.07.011
Chu Jiang, Juguang Wang, Wei Cai, Shaobo Zhang, Huaqing Ying, Yan Xing, Haisheng Li, Yulian Li, Jiye Fu, Prevention on behalf of the COVID-19 response team of Haidian District Center for Disease Control and. Epidemiological characteristics of confirmed coronavirus disease 2019 cases in Haidian district, Beijing[J]. Disease Surveillance, 2020, 35(7): 602-607. DOI: 10.3784/j.issn.1003-9961.2020.07.011
Citation: Chu Jiang, Juguang Wang, Wei Cai, Shaobo Zhang, Huaqing Ying, Yan Xing, Haisheng Li, Yulian Li, Jiye Fu, Prevention on behalf of the COVID-19 response team of Haidian District Center for Disease Control and. Epidemiological characteristics of confirmed coronavirus disease 2019 cases in Haidian district, Beijing[J]. Disease Surveillance, 2020, 35(7): 602-607. DOI: 10.3784/j.issn.1003-9961.2020.07.011

北京市海淀区新型冠状病毒肺炎确诊病例流行病学特征分析

Epidemiological characteristics of confirmed coronavirus disease 2019 cases in Haidian district, Beijing

  • 摘要:
    目的对北京市海淀区新型冠状病毒肺炎(COVID-19)病例进行分析,为有效防控COVID-19提供基础数据。
    方法采用实时荧光定量PCR方法对病例临床标本进行新型冠状病毒(2019-nCoV)核酸检测。 采用描述流行病学方法,对海淀区COVID-19病例人口学特征、就诊情况、感染来源等进行描述,并对轻症和重症病例相应特征进行比较。
    结果2020年1月20日至3月8日,海淀区共报告COVID-19确诊病例63例,其中男性30例(47.6%),病例的中位年龄为47岁(四分位间距:36~67,范围:9月龄至88岁),60~79岁年龄组病例数最多(20例,占31.7%),职业中干部职员病例数最多(21例,占33.3%),医务人员3例(4.8%)。 2020年1月23 — 28日,病例以武汉市输入为主(12/22,54.6%),之后以本地传播为主(25/41,61.0%)。 全区共报告家庭聚集性疫情12起,累计发病39例。 全区4例患者因COVID-19死亡,病死率为6.3%,因肺纤维化死亡1例,余58例(92.0%)痊愈出院。 重症病例17例(27.0%),轻症46例(73.0%);较大年龄[≥50岁 vs. <50岁,比值比(OR)=9.632;95% 可信区间(CI):2.238~41.456]和从发病到发热门诊就诊较长间隔(≥7 d vs. <7 d,OR=4.175;95% CI:1.116~15.610)是重症的危险因素。
    结论海淀区COVID-19疫情早期以武汉市输入病例为主,后继以本地传播为主;出现症状后及早就诊是减少重症和死亡发生的关键,特别是对于≥50岁者更为重要。

     

    Abstract:
    ObjectiveTo analyze the epidemiological characteristics of the confirmed coronavirus diseases 2019 (COVID-19) cases reported in Haidian district of Beijing and provide basic data for the effective prevention and control of COVID-19.
    MethodsWith descriptive epidemiology method, we analyzed the demographic characteristics, the source of infection, and medical-care seeking of the confirmed COVID-19 cases in Haidian, and compared the differences in these characteristics between severe cases and mild cases. The clinical specimens of the cases were tested for 2019 novel coronavirus (2019-nCoV) RNA using the real-time quantitative PCR assay.
    ResultsFrom January 20 to March 8, 2020, a total of 63 confirmed COVID-19 cases were reported in Haidian, of whom 30 (47.6%) were males. The median of the age was 47 years (interquartile range: 36–67 years), ranging from 9 months to 88 years. Twenty cases (31.7%) were aged 60–79 years. In the occupation distribution, 21 cases (33.3%) were staff members, and 3 were health workers (4.8%). From January 20 to January 28, 2020, the majority of these cases (12/22, 54.6%) were individuals who had been to Wuhan 14 days before disease onset, and 25 cases (61.0%) acquired infection through local transmission thereafter. A total of 12 family clusters were reported, involving 39 cases. As of 9 April, 2020, 58 cases (92.0%) had been cured and discharged from hospitals, 1 case had died of pulmonary fibrosis, and 4 cases had died from COVID-19, with the case fatality rate of 6.3%. Of all the cases, 17 (27.0%) were severe cases and 46 (73.0%) were mild cases. Older age [≥50 years vs. <50 years, OR=9.632; 95% confidential interval (CI): 2.238–41.456] and longer interval from disease onset to seeking medical care (≥7 days vs. <7 days, OR=4.175; 95% CI: 1.116–15.610) were associated with the increased risk of severe illness.
    ConclusionAt the early stage of the COVID-19 outbreak in Haidian, the imported cases from Wuhan accounted for majority of the total cases, then the cases acquired infection mainly through local transmission. Seeking medical care at fever clinic as early as possible after the disease onset is key to reduce the occurrence of severe illness and death, particularly for those aged ≥50 years.

     

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