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

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Authors
Hadley, Liza
Challenor, Peter
Dent, Chris
Isham, Valerie
Mollison, Denis
Robertson, Duncan A
  Swallow, Ben
Publication Date
2021-08-30
Journal Title
Epidemics
ISSN
1755-4365
Volume
37
Language
eng
Type
Article
This Version
VoR
Metadata
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Citation
Hadley, L., Challenor, P., Dent, C., Isham, V., Mollison, D., Robertson, D. A., Swallow, B., & et al. (2021). Challenges on the interaction of models and policy for pandemic control.. Epidemics, 37 https://doi.org/10.1016/j.epidem.2021.100499
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.
Keywords
Policy, Communication, Cooperation, Pandemic, Modelling
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)
Identifiers
PMC8404384, 34534749
External DOI: https://doi.org/10.1016/j.epidem.2021.100499
This record's URL: https://www.repository.cam.ac.uk/handle/1810/329598
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