A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements
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Peer-reviewed
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Abstract
The Covid-19 pandemic has placed extraordinary amounts of stress upon public hospitals globally. This paper describes a simulation model for estimating hospital bed demand based on generated scenarios. Statistical tools were also developed for generating these scenarios, in particular, for fitting distributions to patients' lengths-of-stay and for predicting the number of daily arrivals of Covid-19 patients. A web dashboard has been created for ease of use. The simulation model and statistical tools have been used to estimate Covid-related bed demand at an NHS hospital in the East of England.
Description
Keywords
4014 Manufacturing Engineering, 40 Engineering, Coronaviruses, Infectious Diseases, Coronaviruses Disparities and At-Risk Populations, Emerging Infectious Diseases
Journal Title
Proceedings - Winter Simulation Conference
Conference Name
2023 Winter Simulation Conference (WSC)
Journal ISSN
0891-7736
Volume Title
00
Publisher
IEEE
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Sponsorship
MRC (MR/T032413/1)