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Characteristics of COVID-19 infection in Beijing

Tian, Sijia ; Hu, Nan ; Lou, Jing ; Chen, Kun ; Kang, Xuqin ; Xiang, Zhenjun ; Chen, Hui ; Wang, Dali ; Liu, Ning ; Liu, Dong ; Chen, Gang ; Zhang, Yongliang ; Li, Dou ; Li, Jianren ; Lian, Huixin ; Niu, Shengmei ; Zhang, Luxi ; Zhang, Jinjun

The Journal of infection, 2020-04, Vol.80 (4), p.401-406 [Periódico revisado por pares]

England: Elsevier Ltd

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Título:
Characteristics of COVID-19 infection in Beijing
Autor: Tian, Sijia ; Hu, Nan ; Lou, Jing ; Chen, Kun ; Kang, Xuqin ; Xiang, Zhenjun ; Chen, Hui ; Wang, Dali ; Liu, Ning ; Liu, Dong ; Chen, Gang ; Zhang, Yongliang ; Li, Dou ; Li, Jianren ; Lian, Huixin ; Niu, Shengmei ; Zhang, Luxi ; Zhang, Jinjun
Assuntos: 2019-nCoV ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Beijing ; Beijing - epidemiology ; Betacoronavirus ; Characteristics ; Child ; Child, Preschool ; Coronavirus Infections - epidemiology ; Coronavirus Infections - physiopathology ; Cough ; COVID-19 ; Disease Outbreaks ; Fatigue ; Female ; Fever ; Humans ; Infant ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - physiopathology ; Retrospective Studies ; SARS-CoV-2 ; Severe Acute Respiratory Syndrome - epidemiology ; Travel-Related Illness ; Young Adult
É parte de: The Journal of infection, 2020-04, Vol.80 (4), p.401-406
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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S. Tian, N. Hu, J. Lou and K. Chen contributed equally to this article.
Descrição: Since the first case of a novel coronavirus (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing. We collected patients who were transferred by Beijing Emergency Medical Service to the designated hospitals. The information on demographic, epidemiological, clinical, laboratory test for the COVID-19 virus, diagnostic classification, cluster case and outcome were obtained. Furthermore we compared the characteristics between severe and common confirmed cases which including mild cases, no-pneumonia cases and asymptomatic cases, and we also compared the features between COVID-19 and 2003 SARS. By Feb 10, 2020, 262 patients were transferred from the hospitals across Beijing to the designated hospitals for special treatment of the COVID-19 infected by Beijing emergency medical service. Among of 262 patients, 46 (17.6%) were severe cases, 216 (82.4%) were common cases, which including 192 (73.3%) mild cases, 11(4.2%) non-pneumonia cases and 13 (5.0%) asymptomatic cases respectively. The median age of patients was 47.5 years old and 48.5% were male. 192 (73.3%) patients were residents of Beijing, 50 (26.0%) of which had been to Wuhan, 116 (60.4%) had close contact with confirmed cases, 21 (10.9%) had no contact history. The most common symptoms at the onset of illness were fever (82.1%), cough (45.8%), fatigue (26.3%), dyspnea (6.9%) and headache (6.5%). The median incubation period was 6.7 days, the interval time from between illness onset and seeing a doctor was 4.5 days. As of Feb 10, 17.2% patients have discharged and 81.7% patients remain in hospital in our study, the fatality of COVID-19 infection in Beijing was 0.9%. On the basis of this study, we provided the ratio of the COVID-19 infection on the severe cases to the mild, asymptomatic and non-pneumonia cases in Beijing. Population was generally susceptible, and with a relatively low fatality rate. The measures to prevent transmission was very successful at early stage, the next steps on the COVID-19 infection should be focused on early isolation of patients and quarantine for close contacts in families and communities in Beijing. Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.
Editor: England: Elsevier Ltd
Idioma: Inglês

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Characteristics of COVID-19 infection in Beijing

Tian, Sijia ; Hu, Nan ; Lou, Jing ; Chen, Kun ; Kang, Xuqin ; Xiang, Zhenjun ; Chen, Hui ; Wang, Dali ; Liu, Ning ; Liu, Dong ; Chen, Gang ; Zhang, Yongliang ; Li, Dou ; Li, Jianren ; Lian, Huixin ; Niu, Shengmei ; Zhang, Luxi ; Zhang, Jinjun

England: Elsevier Ltd

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