Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

An interactive tool for enhancing hospital capacity predictions using an epidemiological model

Lookup NU author(s): Professor Daniel ArchambaultORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

© 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.

Publication metadata

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

Pages: 55-56

Online publication date: 08/07/2021

Acceptance date: 02/04/2018

Publisher: ACM

URL: https://doi.org/10.1145/3449726.3462738

DOI: 10.1145/3449726.3462738

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450383516

Share