[Epidemiological investigation on a cluster epidemic of COVID-19 in a collective workplace in Tianjin].
Zhonghua Liu Xing Bing Xue Za Zhi
; 41(5): 648-652, 2020 May 10.
Article
in Chinese
| MEDLINE | ID: covidwho-8247
ABSTRACT
Objective:
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.Methods:
Descriptive research method was used to describe the distribution and other epidemiological characteristics of the cluster cases of COVID-19.Results:
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.Conclusions:
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Workplace
/
Coronavirus Infections
/
Epidemics
Type of study:
Observational study
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Zhonghua Liu Xing Bing Xue Za Zhi
Year:
2020
Document Type:
Article
Affiliation country:
Cma.j.cn112338-20200219-00121
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