Published on in Vol 10, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30083, first published .
An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan

Francesca Fiorentino   1, 2 , BSc, MSc, PhD ;   Denys Prociuk   1 , BSc, MSc ;   Ana Belen Espinosa Gonzalez   1 , MSc, PhD ;   Ana Luisa Neves   3 , MSc, MD, PhD ;   Laiba Husain   4 , BSc, MPH ;   Sonny Christian Ramtale   1 , BSc, MSc ;   Emma Mi   1 , MBBChir ;   Ella Mi   1 , MBBChir ;   Jack Macartney   4 ;   Sneha N Anand   4 , BSc, MSc, PhD ;   Julian Sherlock   4 , BA ;   Kavitha Saravanakumar   5 , BSc, MSc ;   Erik Mayer   1 , PhD ;   Simon de Lusignan   4, 6 , MBBS, MSc, MD ;   Trisha Greenhalgh   4 , MA, MBA, MD, PhD ;   Brendan C Delaney   1 , MD

1 Department of Surgery and Cancer, Imperial College London, London, United Kingdom

2 Imperial Clinical Trials Unit, Imperial College London, London, United Kingdom

3 Patient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, United Kingdom

4 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

5 Whole Systems Integrated Care, North West London Collaboration of Clinical Commissioning Group, London, United Kingdom

6 Royal College of General Practitioners Research and Surveillance Centre, London, United Kingdom

Corresponding Author:

  • Francesca Fiorentino, BSc, MSc, PhD
  • Department of Surgery and Cancer
  • Imperial College London
  • Queen Elizabeth the Queen Mother Building (10th Floor/1091), St Mary's Hospital
  • Praed Street
  • London, W2 1NY
  • United Kingdom
  • Phone: 44 2033123761
  • Email: f.fiorentino@imperial.ac.uk