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

Christine S.M. Currie, John W. Fowler, Kathy Kotiadis, Thomas Monks, Bhakti Stephan Onggo, Duncan A. Robertson, Antuela A. Tako

Research output: Contribution to journalArticlepeer-review

103 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)83-97
Number of pages15
JournalJournal of Simulation
Volume14
Issue number2
DOIs
StatePublished - Apr 2 2020

Keywords

  • COVID-19
  • Simulation modelling
  • coronavirus
  • pandemic

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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