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

doi:10.1080/17477778.2020.1751570

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

Supply Chain Management

Research output: Contribution to journal › Article › peer-review

282 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 language	English (US)
Pages (from-to)	83-97
Number of pages	15
Journal	Journal of Simulation
Volume	14
Issue number	2
DOIs	https://doi.org/10.1080/17477778.2020.1751570
State	Published - 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

Access to Document

10.1080/17477778.2020.1751570

Cite this

@article{9e4d220066ed404b9cfd74d3a83ba417,

title = "How simulation modelling can help reduce the impact of COVID-19",

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.",

keywords = "COVID-19, Simulation modelling, coronavirus, pandemic",

author = "Currie, {Christine S.M.} and Fowler, {John W.} and Kathy Kotiadis and Thomas Monks and Onggo, {Bhakti Stephan} and Robertson, {Duncan A.} and Tako, {Antuela A.}",

note = "Publisher Copyright: {\textcopyright} 2020, {\textcopyright} Operational Research Society 2020.",

year = "2020",

month = apr,

day = "2",

doi = "10.1080/17477778.2020.1751570",

language = "English (US)",

volume = "14",

pages = "83--97",

journal = "Journal of Simulation",

issn = "1747-7778",

publisher = "Palgrave Macmillan Ltd.",

number = "2",

}

TY - JOUR

T1 - How simulation modelling can help reduce the impact of COVID-19

AU - Currie, Christine S.M.

AU - Fowler, John W.

AU - Kotiadis, Kathy

AU - Monks, Thomas

AU - Onggo, Bhakti Stephan

AU - Robertson, Duncan A.

AU - Tako, Antuela A.

PY - 2020/4/2

Y1 - 2020/4/2

N2 - 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.

AB - 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.

KW - COVID-19

KW - Simulation modelling

KW - coronavirus

KW - pandemic

UR - http://www.scopus.com/inward/record.url?scp=85083501108&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85083501108&partnerID=8YFLogxK

U2 - 10.1080/17477778.2020.1751570

DO - 10.1080/17477778.2020.1751570

M3 - Article

AN - SCOPUS:85083501108

SN - 1747-7778

VL - 14

SP - 83

EP - 97

JO - Journal of Simulation

JF - Journal of Simulation

IS - 2

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this