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Challenges on the interaction of models and policy for pandemic control.

Published version
Peer-reviewed

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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.

Description

Journal Title

Epidemics

Conference Name

Journal ISSN

1755-4365

Volume Title

37

Publisher

Rights and licensing

Sponsorship
Engineering and Physical Sciences Research Council (EP/P001173/1, RG92770, EP/R014604/1)
Isaac Newton Institute for Mathematical Sciences (EP/R014604/1, EP/P001173/1, RG92770)
Scottish Funding Council (EP/R014604/1, RG92770, EP/P001173/1)
University of Edinburgh (EP/P001173/1, EP/R014604/1, RG92770)
Alan Turing Institute (EP/R014604/1, RG92770, EP/P001173/1)
Wellcome Trust (EP/R014604/1, RG92770, EP/P001173/1)