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Characteristics of COVID-19 Infection In Beijing

24 Pages Posted: 20 Feb 2020

See all articles by Sijia Tian

Sijia Tian

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Nan Hu

Beijing Emergency Medical Center

Jing Lou

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Kun Chen

Beijing Chao Yang District Emergency Medical Center

Xuqin Kang

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Zhenjun Xiang

Beijing Emergency Medical Center

Hui Chen

Beijing Emergency Medical Center

Dali Wang

Beijing Haidian District Medical Rescue Center

Ning Liu

Capital Medical University - Beijing Luhe Hospital

Dong Liu

Beijing Emergency Medical Center

Gang Chen

Beijing Shijingshan Hospital

Yongliang Zhang

People’s Hospital of Beijing Daxing District

Dou Li

Beijing Dongcheng District Emergency Medical Center

Jianren Li

Beijing Emergency Medical Center

Huixin Lian

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Shengmei Niu

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Luxi Zhang

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

Jinjun Zhang

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

More...

Abstract

Background: 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.

Methods: We collected patients who were transferred by Beijing Emergency Medical Sevice 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.

Findings: 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%.

Interpretation: 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.

Funding Statement: This study was supported by the Beijing Municipal Science and Technology Project (Z191100004419003) and the National Science and Technology Fundamental Resources Investigation Project (2018FY100600).

Declaration of Interests: All authors declare no competing interests.

Ethics Approval Statement: The study was approved by Ethics Committee of Beijing Emergency Medical Center (No.2020- 01) and the written informed consent was waived because of the retrospective nature of the study and belongs to emergency medical service.

Keywords: COVID-19, 2019-nCoV, Characteristics, Beijing

Suggested Citation

Tian, Sijia and Hu, Nan and Lou, Jing and Chen, Kun and Kang, Xuqin and Xiang, Zhenjun and Chen, Hui and Wang, Dali and Liu, Ning and Liu, Dong and Chen, Gang and Zhang, Yongliang and Li, Dou and Li, Jianren and Lian, Huixin and Niu, Shengmei and Zhang, Luxi and Zhang, Jinjun, Characteristics of COVID-19 Infection In Beijing (February 17, 2020). Available at SSRN: https://ssrn.com/abstract=3541134 or http://dx.doi.org/10.2139/ssrn.3541134

Sijia Tian

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Nan Hu

Beijing Emergency Medical Center

China

Jing Lou

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Kun Chen

Beijing Chao Yang District Emergency Medical Center

China

Xuqin Kang

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Zhenjun Xiang

Beijing Emergency Medical Center

China

Hui Chen

Beijing Emergency Medical Center

China

Dali Wang

Beijing Haidian District Medical Rescue Center

China

Ning Liu

Capital Medical University - Beijing Luhe Hospital

Beijing
China

Dong Liu

Beijing Emergency Medical Center

China

Gang Chen

Beijing Shijingshan Hospital

Beijing
China

Yongliang Zhang

People’s Hospital of Beijing Daxing District

Beijing, 100000
China

Dou Li

Beijing Dongcheng District Emergency Medical Center

China

Jianren Li

Beijing Emergency Medical Center

China

Huixin Lian

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Shengmei Niu

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Luxi Zhang

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute

China

Jinjun Zhang (Contact Author)

Beijing Emergency Medical Center - Beijing Emergency Medicine Research Institute ( email )

China

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