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A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Chan, YC 
Dreesbeimdiek, K 
Parlikad, AK 
Ridgman, T 
Matheson, NJ 

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
Sponsorship
MRC (MR/T032413/1)