Shen, Yinzhong; Zheng, Fang; Sun, Danfeng; Ling, Yun; Chen, Jun; Li, Feng; Li, Tao; Qian, Zhiping; Zhang, Yuyi; Xu, Qingnian; +14 more... Liu, Li; Huang, Qin; Shan, Fei; Xu, Lie; Wu, Jun; Zhu, Zhaoqin; Song, Zhigang; Li, Shenyang; Shi, Yuxin; Zhang, Jianliang; Wu, Xueyun; Mendelsohn, Joshua B; Zhu, Tongyu; Lu, Hongzhou; (2020) Epidemiology and clinical course of COVID-19 in Shanghai, China. EMERGING MICROBES & INFECTIONS, 9 (1). pp. 1537-1545. DOI: https://doi.org/10.1080/22221751.2020.1787103
Permanent Identifier
Use this Digital Object Identifier when citing or linking to this resource.
Abstract
Background: Novel coronavirus pneumonia (COVID-19) is prevalent around the world. We aimed to describe epidemiological features and clinical course in Shanghai. Methods: We retrospectively analysed 325 cases admitted at Shanghai Public Health Clinical Center, between January 20 and February 29, 2020. Results: 47.4% (154/325) had visited Wuhan within 2 weeks of illness onset. 57.2% occurred in 67 clusters; 40% were situated within 53 family clusters. 83.7% developed fever during the disease course. Median times from onset to first medical care, hospitalization and negative detection of nucleic acid by nasopharyngeal swab were 1, 4 and 8 days. Patients with mild disease using glucocorticoid tended to have longer viral shedding in blood and feces. At admission, 69.8% presented with lymphopenia and 38.8% had elevated D-dimers. Pneumonia was identified in 97.5% (314/322) of cases by chest CT scan. Severe-critical patients were 8% with a median time from onset to critical disease of 10.5 days. Half required oxygen therapy and 7.1% high-flow nasal oxygen. The case fatality rate was 0.92% with median time from onset to death of 16 days. Conclusion: COVID-19 cases in Shanghai were imported. Rapid identification, and effective control measures helped to contain the outbreak and prevent community transmission.
Item Type | Article |
---|---|
Faculty and Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Research Centre | Covid-19 Research |
PubMed ID | 32573353 |
Elements ID | 148686 |
Download
Filename: Shen_etal_2020_Epidemiology-and-clinical-course-of.pdf
Licence: Creative Commons: Attribution 3.0
Download