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How simulation modelling can help reduce the impact of COVID-19

journal contribution
posted on 21.04.2020, 09:11 by Christine SM Currie, John W Fowler, Kathy Kotiadis, Thomas Monks, Bhakti Stephan Onggo, Duncan Robertson, Antuela Tako
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 COVID19. 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.

History

School

  • Business and Economics

Department

  • Business

Published in

Journal of Simulation

Volume

14

Issue

2

Pages

83 - 97

Publisher

Taylor and Francis

Version

AM (Accepted Manuscript)

Rights holder

© Operational Research Society 2020

Publisher statement

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Simulation on 15 Apr 2020, available online: https://doi.org/10.1080/17477778.2020.1751570

Acceptance date

31/03/2020

Publication date

2020-04-15

Copyright date

2020

ISSN

1747-7778

eISSN

1747-7786

Language

en

Depositor

Dr Duncan Robertson. Deposit date: 15 April 2020

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