Conference Paper/Proceeding/Abstract 300 views
An interactive tool for enhancing hospital capacity predictions using an epidemiological model
,
T. Torsney-Weir,
D. Archambault,
Michael Gravenor ,
Biagio Lucini
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Swansea University Authors:
Alma Rahat , Michael Gravenor , Biagio Lucini
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1145/3449726.3462738
Abstract
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...
| Published in: | Proceedings of the Genetic and Evolutionary Computation Conference Companion |
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| ISBN: | 978-1-4503-8351-6 978-1-4503-8351-6 |
| Published: |
New York, NY, USA
ACM
2021
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| Online Access: |
http://dx.doi.org/10.1145/3449726.3462738 |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa64016 |
| Abstract: |
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. |
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| Item Description: |
Editor: Francisco Chicano |
| College: |
Faculty of Science and Engineering |