Characteristics of COVID-19 infection in Beijing

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

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 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.

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: Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.

Keywords: 2019-nCoV; Beijing; COVID-19; Characteristics.

Conflict of interest statement

Declaration of Competing Interest All authors declare no competing interests.

Copyright © 2020 Elsevier Ltd. All rights reserved.

Figures

Fig. 1
Fig. 1
Change of imported cases. *A patient who have been to Wuhan; B patient who have contacted to symptomatic cases.
Fig. 2
Fig. 2
. Patients flow and enrollment.
Fig. 3
Fig. 3
Top 10 provinces in China for accumulative COVID-19 cases. A. Daily new confirmed cases of COVID-19 and SARS in China; B. Accumulated confirmed case of COVID-19 and SARS in China.
Fig. 4
Fig. 4
Comparison of COVID-19 and 2003 SARS in China.

References

    1. WHO. World experts and funders set priorities for COVID-19 research. Feb 12, 2020. (accessed Feb 13, 2020)
    1. China National Health Commission. February 10, 2020, update on the novel coronavirus pneumonia outbreak). Beijing: national health commission of the People's Republic of China, 2020. (accessed Feb 10, 2020)
    1. Beijing Health Commission . Beijing Health Commission; Beijing: 2020. Update on the novel coronavirus pneumonia outbreak. February 10, 2020. (accessed Feb 5, 2020)
    1. Wang C., Horby P.W., Hayden F.G., Gao G.F. A novel coronavirus outbreak of global health concern. Lancet. 2020 January 24 (Epub ahead of print)
    1. Munster V.J., Koopmans M., van Doremalen N. A novel coronavirus emerging in China-key questions for impact assessment. N Engl J Med. 2020 Jan 24 (Epub ahead of print)
    1. Huang C., Wang Y., Li X. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Jan 24 (Epub ahead of print)
    1. Li Q., Guan X., Wu P. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia. N Engl J Med. 2020 Jan 29 (Epub ahead of print)
    1. New coronavirus pneumonial prevention and control program (2nd ed.) (in Chinese). 2020 () (accessedFeb 10, 2020).
    1. New coronavirus pneumonial diagnosis and treatment program (3rd ed.) (in Chinese). 2020(accessed Feb10, 2020).
    1. New coronavirus pneumonial diagnosis and treatment program (5th ed.) (in Chinese). 2020 (accessed Feb10, 2020).
    1. Chan J.F., Chan K.H., Kao R.Y. Broad-spectrum antivirals for the emerging middle east respiratory syndrome coronavirus. J Infect. 2013;67(6):606–616.
    1. Drazen J.M. SARS-looking back over the first 100 days. N Engl J Med. 2003;349(4):319–320.
    1. Chen N.S., Zhou M., Dong X. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Jan 24 (Epub ahead of print)
    1. Chan J.F., Yuan S., Kok K.H. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020 Jan 24 (Epub ahead of print)
    1. Rothe C., Schunk M., Sothmann P. Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. N Engl J Med. 2020 Jan 30(Epub ahead of print.
    1. Wu J.T., Leung K., Leung G.M. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020 Jan 31(Epub ahead of print.
    1. Yang S., Wu J., Ding C. Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study. Lancet Infect Dis. 2017;17(7):716–725.

Source: PubMed

3
Tilaa