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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
- 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
- Subjects :
- Adult
Male
Pediatrics
medicine.medical_specialty
China
Adolescent
Fever
Medicine (miscellaneous)
Health Informatics
Disease
Logistic regression
Article
Cohort Studies
Leukocyte Count
Young Adult
Health Information Management
Risk Factors
Medicine
Humans
Decision Sciences (miscellaneous)
Young adult
Cities
Child
Lung
Pandemics
Aged
Aged, 80 and over
business.industry
SARS-CoV-2
Age Factors
Infant, Newborn
Outbreak
Infant
COVID-19
Odds ratio
Middle Aged
El Niño
Child, Preschool
Multivariate Analysis
Observational study
Female
business
Cohort study
Subjects
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