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Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort

Year: 2021
Type: article
Study design: Observational Study
DOI: 10.1016/j.jinf.2021.02.015
Authors: M. Antonelli, J. Capdevila, A. Chaudhari, J. Granerod, L.S. Canas, M.S. Graham, K. Klaser, M. Modat, E. Molteni, B. Murray, C.H. Sudre, R. Davies, A. May, L.H. Nguyen, D.A. Drew, A. Joshi, A.T. Chan, J.P. Cramer, T. Spector, J. Wolf, S. Ourselin, C.J. Steves, A.E. Loeliger
Institutions: King's College London, ZOE (United Kingdom), Coalition for Epidemic Preparedness Innovations, Coalition for Epidemic Preparedness Innovations, MRC Unit for Lifelong Health and Ageing, University College London, Harvard University, Massachusetts General Hospital
Language: English
Field: Medicine
Open Access status: bronze
Funders: American Gastroenterological Association, Wellcome Trust, Crohn's and Colitis Foundation, Chronic Disease Research Foundation, UK Research and Innovation, Coalition for Epidemic Preparedness Innovations, Alzheimer's Society, Massachusetts Consortium on Pathogen Readiness, National Institute for Health and Care Research, British Heart Foundation, Medical Research Council, Engineering and Physical Sciences Research Council, National Institute of Diabetes and Digestive and Kidney Diseases
Awards: G1583112383, G5150739293, G8077066138, G8137142257, G8415457339, G894749428, G996656018
OpenAlex ID: W3131223480
FWCI: 2.291
Cites: 21
Cited by: 31
Related to: 10