A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements
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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.
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Winter Simulation Conference 2023
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IEEE
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Except where otherwised noted, this item's license is described as All Rights Reserved
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Cambridge University Hospitals NHS Foundation Trust (CUH) (Unknown)
Cambridge University Hospitals NHS Foundation Trust (CUH) (000087572)
Cambridge University Hospitals NHS Foundation Trust (CUH) (000087572)
NJM was supported by the UKRI Medical Research Council (TSF ref. MR/T032413/1) and NHS Blood and Transplant (grant ref. WP15-02).