[Epidemiological characteristics of confirmed COVID-19 cases in Tianjin].
Zhonghua Liu Xing Bing Xue Za Zhi
; 41(5): 638-641, 2020 May 10.
Article
in Chinese
| MEDLINE | ID: covidwho-8369
ABSTRACT
Objective:
To investigate the clinical and epidemiological characteristics of 135 confirmed cases of COVID-19 in Tianjin.Methods:
The clinical and epidemiological data of 135 cases of COVID-19 in Tianjin were collected, and the data were analyzed with descriptive method. The factors influencing the severity of the illness were analyzed.Results:
Among the 135 COVID-19 cases, 72 were males and 63 were females, the age of the cases was (48.62±16.83) years, and the case fatality rate was 2.22%. Local transmission caused 74.81% of the cases. A total of 33 clusters occurred, involving 85.92% of all COVID-19 cases. The median of the incubation period of COVID-19 was 6.50 days, the average generation interval was 5 days, and the household secondary transmission rate was 20.46%. Fever was the main symptom (78.63%), followed by cough (56.48%). Multivariate regression analysis indicated that age (OR=1.038, 95%CI 1.010-1.167) and the number of chronic underlying diseases (OR=1.709, 95%CI 1.052-2.777) were the risk factors of severe illness.Conclusions:
Fever was the main symptom at the early phase of COVID-19 in Tianjin, and the local cluster cases accounted for high proportion in confirmed COVID-19 cases reported in Tianjin. Severe illness was prone to occur in people with old age and multi underlying diseases. Strict isolation of close contacts and intensive care of high-risk groups are the main measures to reduce the morbidity and case fatality of COVID-19.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
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.cn112338-20200221-00146
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