Challenges on the interaction of models and policy for pandemic control

Hadley, Liza; Challenor, Peter; Dent, Chris; Isham, Valerie; Mollison, Denis; Robertson, Duncan A.; Swallow, Ben; Webb, Cerian R.

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Date

12/2021

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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.

Citation

Hadley , 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.2021.100499

Publication

Epidemics

Status

Peer reviewed

DOI

https://doi.org/10.1016/j.epidem.2021.100499

ISSN

1755-4365

Type

Journal article

Rights

Description

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.

Collections

University of St Andrews Research

URI

http://hdl.handle.net/10023/26088