Epidemiological investigation on a cluster epidemic of COVID-19 in a collective workplace in Tianjin
To investigate and analysis the epidemiological characteristics of a cluster epidemic of COIVD-19 in a collective workplace in Tianjin, evduate the prevention and control measures based on limited evidence and experience in early period of COVID-19 epidemic. Descriptive research method was used to d...
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Published in: | Zhōnghuá liúxíngbìng zázhì Vol. 41; no. 5; p. 648 |
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Main Authors: | , , , , , , , , , , , , |
Format: | Journal Article |
Language: | Chinese |
Published: |
China
10-05-2020
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Subjects: | |
Online Access: | Get more information |
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Summary: | To investigate and analysis the epidemiological characteristics of a cluster epidemic of COIVD-19 in a collective workplace in Tianjin, evduate the prevention and control measures based on limited evidence and experience in early period of COVID-19 epidemic.
Descriptive research method was used to describe the distribution and other epidemiological characteristics of the cluster cases of COVID-19.
Since the onset of the first index case on January 15, ten confirmed COVID-19 cases had occurred in the workplace, and the epidemic had spread from the workplace to 4 families, infecting 7 family members. The median age of 17 cases was 55 (19-79) years. All the 10 employee cases were males, and in the family cases, 3 were males and 4 were females. Of the employee cases, 8 worked in CW workshop and 2 worked in administrative office building. The median exposure-onset interval of all the cases was 4 days, and the median exposure-onset interval was 4.5 days in the employee cases and 4 days in the family cases. The median onset-medical care seeking interval was 4 days in the non-isolated cases, 2.5 days in the cases with home isolation after onset, and 0.5 day in the cases with home isolation before onset.
The clustering of COVID-19 cases was observed in this workplace in Tianjin, which affected 4 families. In the early stage of the epidemic, accurate and rapid blocking and control measures can completely prevent the large-scale spread of COVID-19. |
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ISSN: | 0254-6450 |
DOI: | 10.3760/cma.j.cn112338-20200219-00121 |