A modular approach to forecasting COVID-19 hospital bed occupancy.

Saved in:
Bibliographic Details
Title: A modular approach to forecasting COVID-19 hospital bed occupancy.
Authors: Tobin RJ; School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia. ruarai.tobin@unimelb.edu.au.; Infectious Disease Dynamics Unit, Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. ruarai.tobin@unimelb.edu.au., Walker CR; School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia.; Infectious Disease Dynamics Unit, Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia., Moss R; Infectious Disease Dynamics Unit, Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia., McCaw JM; School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia.; Infectious Disease Dynamics Unit, Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia., Price DJ; Department of Infectious Diseases, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.; Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia., Shearer FM; Infectious Disease Dynamics Unit, Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia. freya.shearer@unimelb.edu.au.; Infectious Disease Ecology and Modelling, The Kids Research Institute Australia, Perth, WA, Australia. freya.shearer@unimelb.edu.au.
Source: Communications medicine [Commun Med (Lond)] 2025 Aug 12; Vol. 5 (1), pp. 349. Date of Electronic Publication: 2025 Aug 12.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2730-664X
DOI:10.1038/s43856-025-01086-0