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10.3760/cma.j.cn112338-20200221-00146

http://scihub22266oqcxt.onion/10.3760/cma.j.cn112338-20200221-00146
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32164400!ä!32164400

suck abstract from ncbi


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pmid32164400      Zhonghua+Liu+Xing+Bing+Xue+Za+Zhi 2020 ; 41 (5): 638-641
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  • Epidemiological characteristics of confirmed COVID-19 cases in Tianjin #MMPMID32164400
  • Dong XC; Li JM; Bai JY; Liu ZQ; Zhou PH; Gao L; Li XY; Zhang Y
  • Zhonghua Liu Xing Bing Xue Za Zhi 2020[May]; 41 (5): 638-641 PMID32164400show ga
  • 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.
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/*diagnosis/*epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]


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