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Assessing risk factors for SARS-CoV-2 infection in patients presenting with symptoms in Shanghai, China: a multicentre, observational cohort study

Authors :
Chun Li
Xiaoyan Jin
De-Jie Chu
Jia-Wei Yang
Yong Luo
Jing-ya Zhao
Jie-ping Pan
Yang Hu
Jin-Fu Xu
Cui-xia Zheng
Jun Li
Chun-Lin Tu
Shuo Liang
Yechang Qian
Zhong-Min Qiu
Hong Bao
Fan Li
Lei Zhao
Wenchao Gu
Jia-wei Ren
Hui-fang Cao
Jie-Ming Qu
Hong-Zhou Lu
Zhijun Jie
An Wang
Xi-Wen Gao
Wei Ding
Tie-Feng Zhang
Bei Mao
Ling Ye
Xiao-lian Song
Rong-huan Yu
Chunling Du
Chang-hui Wang
Yang Liu
Yan-hua Chai
Hai-Wen Lu
Source :
The Lancet Digital Health, The Lancet. Digital Health
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Summary Background The outbreak of COVID-19 has led to international concern. We aimed to establish an effective screening strategy in Shanghai, China, to aid early identification of patients with COVID-19. Methods We did a multicentre, observational cohort study in fever clinics of 25 hospitals in 16 districts of Shanghai. All patients visiting the clinics within the study period were included. A strategy for COVID-19 screening was presented and then suspected cases were monitored and analysed until they were confirmed as cases or excluded. Logistic regression was used to determine the risk factors of COVID-19. Findings We enrolled patients visiting fever clinics from Jan 17 to Feb 16, 2020. Among 53 617 patients visiting fever clinics, 1004 (1·9%) were considered as suspected cases, with 188 (0·4% of all patients, 18·7% of suspected cases) eventually diagnosed as confirmed cases. 154 patients with missing data were excluded from the analysis. Exposure history (odds ratio [OR] 4·16, 95% CI 2·74–6·33; p

Details

Language :
English
ISSN :
25897500
Database :
OpenAIRE
Journal :
The Lancet Digital Health
Accession number :
edsair.doi.dedup.....8e62d1b47ce69699edaf7133884df84b
Full Text :
https://doi.org/10.1016/s2589-7500(20)30109-6