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Challenges on the interaction of models and policy for pandemic control

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dc.contributor.authorHadley, Liza
dc.contributor.authorChallenor, Peter
dc.contributor.authorDent, Chris
dc.contributor.authorIsham, Valerie
dc.contributor.authorMollison, Denis
dc.contributor.authorRobertson, Duncan A.
dc.contributor.authorSwallow, Ben
dc.contributor.authorWebb, Cerian R.
dc.date.accessioned2022-09-28T11:30:28Z
dc.date.available2022-09-28T11:30:28Z
dc.date.issued2021-12-01
dc.identifier281141130
dc.identifier7dba1d3a-a863-4022-95be-1ba9c5ee0f7e
dc.identifier000703684000007
dc.identifier85114810839
dc.identifier.citationHadley , L , Challenor , P , Dent , C , Isham , V , Mollison , D , Robertson , D A , Swallow , B & Webb , C R 2021 , ' Challenges on the interaction of models and policy for pandemic control ' , Epidemics , vol. 37 , 100499 . https://doi.org/10.1016/j.epidem.2021.100499en
dc.identifier.issn1755-4365
dc.identifier.otherORCID: /0000-0002-4042-2772/work/118411698
dc.identifier.otherORCID: /0000-0002-0227-2160/work/118411964
dc.identifier.otherPubMedCentral: PMC8404384
dc.identifier.urihttps://hdl.handle.net/10023/26088
dc.descriptionFunding: The authors would like to thank the Isaac Newton Institute for Mathematical Sciences, Cambridge, for support during the Infectious Dynamics of Pandemics programme where work on this paper was undertaken. This work was supported by EPSRC grant no. EP/R014604/1. L.H. is supported by the Wellcome Trust (block grant no. RG92770). C.D. acknowledges the University of Edinburgh’s Data Driven Innovation Programme under Scottish Funding Council support, the Alan Turing Institute sponsored ‘Managing Uncertainty in Government Modelling’ project, and EPSRC (grant no. EP/P001173/1). B.S. acknowledges the Scottish Covid-19 Response Consortium.en
dc.description.abstractThe COVID-19 pandemic has seen infectious disease modelling at the forefront of government decision-making. Models have been widely used throughout the pandemic to estimate pathogen spread and explore the potential impact of different intervention strategies. Infectious disease modellers and policymakers have worked effectively together, but there are many avenues for progress on this interface. In this paper, we identify and discuss seven broad challenges on the interaction of models and policy for pandemic control. We then conclude with suggestions and recommendations for the future.
dc.format.extent9
dc.format.extent966893
dc.language.isoeng
dc.relation.ispartofEpidemicsen
dc.subjectModellingen
dc.subjectPolicyen
dc.subjectCommunicationen
dc.subjectCooperationen
dc.subjectPandemicen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectQA Mathematicsen
dc.subjectT-NDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectMCCen
dc.subject.lccRA0421en
dc.subject.lccQAen
dc.titleChallenges on the interaction of models and policy for pandemic controlen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1016/j.epidem.2021.100499
dc.description.statusPeer revieweden


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