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 , GB

2 Imperial Clinical Trials Unit, Imperial College London , London , GB

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

4 Nuffield Department of Primary Care Health Sciences, University of Oxford , Oxford , GB

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

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

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
  • GB
  • Phone: 44 2033123761
  • Email: f.fiorentino@imperial.ac.uk