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)
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| Official URL: https://doi.org/10.1080/17477778.2020.1751570 |
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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.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1080/17477778.2020.1751570 |
| Uncontrolled keywords: | Simulation modelling, pandemic, COVID-19, coronavirus |
| Subjects: | H Social Sciences |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
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| Depositing User: | Kathy Kotiadis |
| Date Deposited: | 13 May 2020 14:39 UTC |
| Last Modified: | 22 Jul 2025 09:02 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/81217 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-8004-5708
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