This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (105) JMIR Theme Issue: COVID-19 Special Issue (2452) Electronic Health Records (1053) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Clinical Information and Decision Making (1407) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Medical Informatics and COVID-19 (107) Development and Evaluation of Research Methods, Instruments and Tools (481)

Published on in Vol 10, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29072, first published .
Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool

Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool

Predicting Risk of Hospital Admission in Patients With Suspected COVID-19 in a Community Setting: Protocol for Development and Validation of a Multivariate Risk Prediction Tool

Authors of this article:

Ana Belen Espinosa-Gonzalez1 Author Orcid Image ;   Ana Luisa Neves2, 3 Author Orcid Image ;   Francesca Fiorentino1 Author Orcid Image ;   Denys Prociuk1 Author Orcid Image ;   Laiba Husain4 Author Orcid Image ;   Sonny Christian Ramtale1 Author Orcid Image ;   Emma Mi1 Author Orcid Image ;   Ella Mi1 Author Orcid Image ;   Jack Macartney4 Author Orcid Image ;   Sneha N Anand4 Author Orcid Image ;   Julian Sherlock4 Author Orcid Image ;   Kavitha Saravanakumar5 Author Orcid Image ;   Erik Mayer1 Author Orcid Image ;   Simon de Lusignan4 Author Orcid Image ;   Trisha Greenhalgh4 Author Orcid Image ;   Brendan C Delaney1 Author Orcid Image
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