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[Epidemiological characteristics of COVID-19 cases in outbreak in Xinfadi market in Beijing].
Zhang, Y; Gao, W J; Wang, Y; Wang, X L; Cui, S J; Jia, L; Wang, Q Y; Li, L M.
  • Zhang Y; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Gao WJ; Department of Epidemiology and Biostatistics, School of Public Heatlh, Peking University, Beijing 100191, China.
  • Wang Y; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Wang XL; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Cui SJ; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Jia L; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Wang QY; Institute for Infectious Disease and Endemic Disease Prevention and Control, Beijing Center for Disease Prevention and Control/Beijing Research Center for Preventive Medicine, Beijing 100013, China.
  • Li LM; Department of Epidemiology and Biostatistics, School of Public Heatlh, Peking University, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 42(8): 1336-1340, 2021 Aug 10.
Article in Chinese | MEDLINE | ID: covidwho-1143628
ABSTRACT

Objective:

To understand the epidemiological characteristics of COVID-19 cases, including asymptomatic cases and symptomatic cases, in the outbreak in Xinfadi market in Beijing.

Methods:

Data and epidemiological survey reports of COVID-19 cases in Xinfadi market in Beijing were extracted from China's Infectious Disease Information System. Epidemiological characteristics of symptomatic cases and asymptomatic cases were analyzed and compared by using software SPSS 19.0.

Results:

From June 11 to July 10, 2020, a total of 368 laboratory-confirmed COVID-19 cases reported in Xinfadi market, in which, 335 (91.03%) were symptomatic and 33 (8.97%) were asymptomatic. The cases were distributed in 11 districts, and most cases (252/368, 68.48%) were reported in Fengtai district. The incidence curve of the cases showed a typical outbreak pattern, the case number peaked on 13 June. The median age of the cases were 43 years (QR 31-51). The asymptomatic cases (M=32, QR 29-46) were younger than the symptomatic cases (M=43, QR 31-52), the difference was significant (Z=2.416, P=0.016). The ratio of male to female was 1.26∶1. Most cases (236/368, 64.13%) were engaged in catering service and public place service. 73.91% (272/368) of the cases had historg of direct exposures in the Xinfadi market. 54.08%(199/368) of cases were detected through nucleic acid testing and screening. Mild and moderate cases accounted for 99.10% (332/335) and no death occurred.

Conclusion:

The COVID-19 cases in the outbreak in Xinfadi market were mainly engaged in catering service and public place service. The asymptomatic cases were younger than the symptomatic cases.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2021 Document Type: Article Affiliation country: Cma.j.cn112338-20201222-01428

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2021 Document Type: Article Affiliation country: Cma.j.cn112338-20201222-01428