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Challenges on the interaction of models and policy for pandemic control

Hadley, L; Challenor, P; Dent, C; Isham, V; Mollison, D; Robertson, DA; Swallow, B; (2021) Challenges on the interaction of models and policy for pandemic control. Epidemics , 37 , Article 100499. 10.1016/j.epidem.2021.100499. Green open access

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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.

Type: Article
Title: Challenges on the interaction of models and policy for pandemic control
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.epidem.2021.100499
Publisher version: http://doi.org/10.1016/j.epidem.2021.100499
Language: English
Additional information: This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Science & Technology, Life Sciences & Biomedicine, Infectious Diseases, Modelling, Policy, Communication, Cooperation, Pandemic, PUBLIC-HEALTH, COMMUNICATION, EPIDEMIOLOGY, SCIENCE
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10137549
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