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

Currie, Christine S.M., Fowler, John W., Kotiadis, Kathy, Monks, Thomas, Onggo, Bhakti Stephan, Robertson, Duncan A., Tako, Antuela A. (2020) How simulation modelling can help reduce the impact of COVID-19. Journal of Simulation, . ISSN 1747-7778. (doi:10.1080/17477778.2020.1751570) (KAR id:81217)


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.

Item Type: Article
DOI/Identification number: 10.1080/17477778.2020.1751570
Uncontrolled keywords: Simulation modelling, pandemic, COVID-19, coronavirus
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Kathy Kotiadis
Date Deposited: 13 May 2020 14:39 UTC
Last Modified: 04 Mar 2024 18:35 UTC
Resource URI: (The current URI for this page, for reference purposes)

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