Challenges on the interaction of models and policy for pandemic control

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

doi:10.1016/j.epidem.2021.100499

Challenges on the interaction of models and policy for pandemic control

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

^*Corresponding author for this work

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

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.

Original language	English
Article number	100499
Number of pages	9
Journal	Epidemics
Volume	37
Early online date	14 Sept 2021
DOIs	https://doi.org/10.1016/j.epidem.2021.100499
Publication status	Published - 1 Dec 2021

Keywords

Modelling
Policy
Communication
Cooperation
Pandemic

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.epidem.2021.100499Licence: CC BY-NC-ND

Hadley_2021_Epidemics_Challenges-interaction_CC
Copyright © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
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Cite this

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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.",

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author = "Liza Hadley and Peter Challenor and Chris Dent and Valerie Isham and Denis Mollison and Robertson, {Duncan A.} and Ben Swallow and Webb, {Cerian R.}",

note = "Funding: 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{\textquoteright}s Data Driven Innovation Programme under Scottish Funding Council support, the Alan Turing Institute sponsored {\textquoteleft}Managing Uncertainty in Government Modelling{\textquoteright} project, and EPSRC (grant no. EP/P001173/1). B.S. acknowledges the Scottish Covid-19 Response Consortium.",

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AU - Hadley, Liza

AU - Challenor, Peter

AU - Dent, Chris

AU - Isham, Valerie

AU - Mollison, Denis

AU - Robertson, Duncan A.

AU - Swallow, Ben

AU - Webb, Cerian R.

N1 - Funding: 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.

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AB - 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.

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KW - Policy

KW - Communication

KW - Cooperation

KW - Pandemic

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Challenges on the interaction of models and policy for pandemic control

Abstract

Keywords

UN SDGs

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