Robertson_How Simulation Modelling Can Help Reduce the Impact of COVID19 Resubmitted Correct Refs.pdf (708.02 kB)
Download fileHow simulation modelling can help reduce the impact of COVID-19
journal contribution
posted on 2020-04-21, 09:11 authored by Christine SM Currie, John W Fowler, Kathy Kotiadis, Thomas Monks, Bhakti Stephan Onggo, Duncan RobertsonDuncan Robertson, Antuela TakoAntuela TakoModelling 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 SimulationVolume
14Issue
2Pages
83 - 97Publisher
Taylor and FrancisVersion
- AM (Accepted Manuscript)
Rights holder
© Operational Research Society 2020Publisher 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/10.1080/17477778.2020.1751570Acceptance date
2020-03-31Publication date
2020-04-15Copyright date
2020ISSN
1747-7778eISSN
1747-7786Publisher version
Language
- en