How simulation modelling can help reduce the impact of COVID-19
How simulation modelling can help reduce the impact of COVID-19
Modelling has been used extensively by all national governments and the World Health Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID-19. Principally these have been epidemiological models aimed at understanding the spread of the disease and the impacts of different interventions. But a global pandemic generates a large number of problems and questions, not just those related to disease transmission, and each requires a different model to find the best solution. In this article we identify challenges resulting from the COVID-19 pandemic and discuss how simulation modelling could help to support decision-makers in making the most informed decisions. Modellers should see the article as a call to arms and decision-makers as a guide to what support is available from the simulation community.
COVID-19, coronavirus, pandemic, simulation modelling
83-97
Currie, Christine
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Fowler, John
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Kotiadis, Kathy
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Monks, Thomas
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Onggo, Bhakti Stephan
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Robertson, Duncan
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Tako, Antuela
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15 April 2020
Currie, Christine
dcfd0972-1b42-4fac-8a67-0258cfdeb55a
Fowler, John
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Kotiadis, Kathy
560213cd-23c8-4fd1-ad47-06de52cccffc
Monks, Thomas
c675ef05-95c4-451d-a17a-11c5a2192427
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Robertson, Duncan
e71015d7-24e5-429d-ac4c-25ce5f88ae29
Tako, Antuela
ad11c5e0-e9b5-45cf-a3ad-9ff3fab9c4eb
Currie, Christine, Fowler, John, Kotiadis, Kathy, Monks, Thomas, Onggo, Bhakti Stephan, Robertson, Duncan and Tako, Antuela
(2020)
How simulation modelling can help reduce the impact of COVID-19.
Journal of Simulation, 14 (2), .
(doi:10.1080/17477778.2020.1751570).
Abstract
Modelling has been used extensively by all national governments and the World Health Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID-19. Principally these have been epidemiological models aimed at understanding the spread of the disease and the impacts of different interventions. But a global pandemic generates a large number of problems and questions, not just those related to disease transmission, and each requires a different model to find the best solution. In this article we identify challenges resulting from the COVID-19 pandemic and discuss how simulation modelling could help to support decision-makers in making the most informed decisions. Modellers should see the article as a call to arms and decision-makers as a guide to what support is available from the simulation community.
Text
How Simulation Modelling Can Help Reduce the Impact of COVID19 Resubmitted Correct Refs
- Accepted Manuscript
More information
Accepted/In Press date: 31 March 2020
Published date: 15 April 2020
Additional Information:
Publisher Copyright:
© 2020, © Operational Research Society 2020.
Keywords:
COVID-19, coronavirus, pandemic, simulation modelling
Identifiers
Local EPrints ID: 439184
URI: http://eprints.soton.ac.uk/id/eprint/439184
ISSN: 1747-7778
PURE UUID: a93b5b66-47f4-462a-9acf-306256cb419f
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Date deposited: 06 Apr 2020 16:35
Last modified: 17 Mar 2024 05:27
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Contributors
Author:
John Fowler
Author:
Kathy Kotiadis
Author:
Thomas Monks
Author:
Duncan Robertson
Author:
Antuela Tako
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