Evaluation of a pragmatic approach to predicting COVID-19-positive hospital bed occupancy
The model produced useful predictions of COVID-19-positive bed occupancy prior to the emergence of the Omicron variant, but accuracy deteriorated after this. In practice, the model offers a pragmatic approach to predicting bed occupancy within a pandemic wave. However, this approach requires continual monitoring of errors to ensure that the periods of poor performance are identified quickly.
Authors
- Julian Redhead (ORCID: https://orcid.org/0000-0002-7102-0071)
- Paul Aylin (ORCID: https://orcid.org/0000-0003-4589-1743)
- Azeem Majeed (ORCID: https://orcid.org/0000-0002-2357-9858)
- Jacques Naudé
- Thomas Woodcock (ORCID: https://orcid.org/0000-0002-4735-4856)
- Derryn Lovett (ORCID: https://orcid.org/0000-0002-6338-5919)
Institutions
- Imperial College Healthcare NHS Trust (GB)
- University of the Witwatersrand (ZA)
- Chelsea and Westminster Hospital NHS Foundation Trust (GB)
- London North West Healthcare NHS Trust (GB)
- Imperial College London (GB)
Publication Details
- Journal
- BMJ Health & Care Informatics
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1136/bmjhci-2024-101055
- Primary Topic
- Global Health Care Issues
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Department of Health and Social Care
- Imperial College London
- North-West University
- Patient Safety Translational Research Centre