A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements
Published in 2023 Winter Simulation Conference (WSC), 2023-12-13
Describes a simulation model and web dashboard for estimating hospital bed demand based on generated scenarios.
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.
Recommended citation:
Y.-C. Chan, K. Dreesbeimdiek, A. K. Parlikad, N. Matheson, B. Warne, and D. Franks, “A simulation model and dashboard for predicting Covid-19 bed requirements,” in 2023 Winter Simulation Conference (WSC), (San Antonio), pp. 1232–1243, INFORMS, Dec. 2023.