Article Text

Download PDFPDF
Validation of clinical risk models for predicting COVID-19 severity

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.


  • Handling editor Richard Body

  • Twitter @RahulAggarwalMD

  • Contributors RA, TSA, JPS, SJH conceptualised the idea. AM, AP, AA, NP, MD, TM, TL, NF were involved in data collection. RA was involved in data analytics. LN was involved in analytical planning and statistical guidance. JPS and SJH supervised the study. All authors were involved in drafting the manuscript, intellectual design and critical revision of the manuscript for intellectual content.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests TSA discloses consulting fees from Alosa Health.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.