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[北京2019新型冠状病毒奥密克戎变异株感染疫情的流行病学特征]

[Epidemiological characteristics of an epidemic of 2019-nCoV Omicron variant infection in Beijing].

作者信息

Sun Y M, Liu F, Cai W, Jin L N, Guo L, Cai R, Shi R J, Liu F Y, Jiang C, Fu J Y, Pan Y, Dou X F, Wu S S

机构信息

Department of Infectious Diseases and Endemic Disease Control, Beijing Haidian District Center for Disease Control and Prevention, Beijing 100094, China.

Department of Immunization Program, Beijing Haidian District Center for Disease Control and Prevention, Beijing 100094, China.

出版信息

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Dec 10;43(12):1881-1886. doi: 10.3760/cma.j.cn112338-20220901-00753.

Abstract

To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing. Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic. From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval ()was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.

摘要

分析北京市海淀区新型冠状病毒肺炎(COVID-19)疫情的流行病学特征及传播链。采用描述性流行病学方法分析疫情的流行病学特征,运用现场调查和大数据技术分析疫情的传播链。2022年4月27日至5月13日,海淀区发生了一起COVID-19疫情。通过全基因组测序鉴定,从病例中分离出的毒株为奥密克戎变异株(BA.2.2进化分支)。共检测到38例感染病例,其中确诊病例34例,无症状感染者4例。多数病例为轻症(88.2%),无重症、危重症或死亡病例。早期临床症状主要为咽痛(50.0%)和咳嗽(29.4%)。疫情持续17天,导致7代病例,涉及3起社区传播、2起工作场所传播和8起家庭传播;主要感染途径为共同居住(47.6%)和共同空间暴露(31.6%)。代间距为3(1,6)天。总体二代发病率为1.5%(37/2482),家庭二代发病率为36.7%(18/49)。此次由奥密克戎变异株引起的COVID-19疫情病例临床症状较轻,但家庭和社区聚集性明显,传播速度快,共同空间暴露风险高。有必要利用信息技术在本地人群中识别密切接触者,以快速有效阻断疫情传播。

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