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Challenges on the interaction of models and policy for pandemic control

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posted on 2022-01-25, 09:24 authored by Liza Hadley, Peter Challenor, Chris Dent, Valerie Isham, Denis Mollison, Duncan RobertsonDuncan Robertson, Ben Swallow, Cerian R Webb
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.

Funding

Isaac Newton Institute for Mathematical Sciences

Engineering and Physical Sciences Research Council

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Wellcome Trust (block grant no. RG92770)

University of Edinburgh’s Data Driven Innovation Programme under Scottish Funding Council support

Alan Turing Institute sponsored ‘Managing Uncertainty in Government Modelling’ project

Centre for Energy Systems Integration

Engineering and Physical Sciences Research Council

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History

School

  • Business and Economics

Department

  • Business

Published in

Epidemics

Volume

37

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2021-08-28

Publication date

2021-08-30

Copyright date

2021

ISSN

1755-4365

eISSN

1878-0067

Language

  • en

Depositor

Dr Duncan Robertson. Deposit date: 24 January 2022

Article number

100499

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