Challenges on the interaction of models and policy for pandemic control

Hadley, L., Challenor, P., Dent, C., Isham, V., Mollison, D., Robertson, D. A., Swallow, B. and Webb, C. R. (2021) Challenges on the interaction of models and policy for pandemic control. Epidemics, 37, 100499. (doi: 10.1016/j.epidem.2021.100499) (PMID:34534749) (PMCID:PMC8404384)

[img] Text
250761.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

957kB

Abstract

The 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.

Item Type:Articles
Additional Information: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.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Swallow, Dr Ben
Authors: Hadley, L., Challenor, P., Dent, C., Isham, V., Mollison, D., Robertson, D. A., Swallow, B., and Webb, C. R.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Epidemics
Publisher:Elsevier
ISSN:1755-4365
ISSN (Online):1878-0067
Published Online:30 August 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Epidemics 37: 100499
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record