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Challenges on the interaction of models and policy for pandemic control

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 policym...

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Detalles Bibliográficos
Autores principales: Hadley, Liza, Challenor, Peter, Dent, Chris, Isham, Valerie, Mollison, Denis, Robertson, Duncan A., Swallow, Ben, Webb, Cerian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404384/
https://www.ncbi.nlm.nih.gov/pubmed/34534749
http://dx.doi.org/10.1016/j.epidem.2021.100499
Descripción
Sumario: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.