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Lookup NU author(s): Dr Daniel ArchambaultORCiD
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© 2021 Owner/Author. Hospital managers have limited resources, and they have to plan on how best to allocate these resources based on predicted demand, which is often based on linear or exponential models. In this paper, we propose an interactive tool that produces a forecast of bed occupancy based on an epidemiological model. We optimise this model to fit recently observed data, and interactivity is conferred through a controllable parameter of the model such that users can readily investigate hypothetical scenarios for planning purposes. This study was designed with the Welsh National Health Service, and was born out of their practical need of accurately modelling hospital occupancy during the ongoing Covid-19 pandemic.
Author(s): Gibson F, Fabbro R, Rahat A, Torsney-Weir T, Archambault D, Gravenor M, Lucini B
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
Year of Conference: 2021
Online publication date: 08/07/2021
Acceptance date: 02/04/2018
Library holdings: Search Newcastle University Library for this item