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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.
  • Hadley L; Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, United Kingdom. Electronic address: lh667@cam.ac.uk.
  • Challenor P; Department of Mathematics, University of Exeter, United Kingdom.
  • Dent C; School of Mathematics, University of Edinburgh, United Kingdom; Alan Turing Institute, United Kingdom.
  • Isham V; Department of Statistical Science, University College London, United Kingdom.
  • Mollison D; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, United Kingdom.
  • Robertson DA; School of Business and Economics, Loughborough University, United Kingdom; St Catherine's College, University of Oxford, United Kingdom.
  • Swallow B; School of Mathematics and Statistics, University of Glasgow, United Kingdom.
  • Webb CR; Department of Plant Sciences, University of Cambridge, United Kingdom.
Epidemics ; 37: 100499, 2021 12.
Article in English | MEDLINE | ID: covidwho-1377711
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Limits: Humans Language: English Journal: Epidemics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Limits: Humans Language: English Journal: Epidemics Year: 2021 Document Type: Article