A modular approach to forecasting COVID-19 hospital bed occupancy
Our forecasts of COVID-19 hospital burden were reported weekly to national decision-making committees to support Australia's public health response. Our modular approach for forecasting clinical burden is found to enable both the independent development of our model from that of the underlying case forecast(s) and the performance benefits of an ensemble case forecast to be leveraged by our occupancy forecasts.
Authors
- James M. McCaw (ORCID: https://orcid.org/0000-0002-2452-3098)
- Ruarai Tobin (ORCID: https://orcid.org/0000-0002-5202-240X)
- Freya M. Shearer (ORCID: https://orcid.org/0000-0001-9600-3473)
- James R. Walker (ORCID: https://orcid.org/0000-0003-1470-858X)
- Robert Moss (ORCID: https://orcid.org/0000-0002-4568-2012)
- David J. Price (ORCID: https://orcid.org/0000-0003-0076-3123)
Institutions
- The University of Melbourne (AU)
- The Kids Research Institute Australia (AU)
- Peter Doherty Institute (AU)
- Melbourne Health (AU)
- RMIT University (AU)
Publication Details
- Journal
- Communications Medicine
- Published
- 2025-08-12
- DOI
- https://doi.org/10.1038/s43856-025-01086-0
- Citations
- 3
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 4.10
Funders
- Australian Government
- Department of Health and Aged Care, Australian Government
- Centers for Disease Control and Prevention
- Medical Research Council
- National Health and Medical Research Council