Modelling that shaped the early COVID-19 pandemic response in the UK

Ellen Brooks-Pollock; Leon Danon; Thibaut Jombart; Lorenzo Pellis

doi:10.1098/rstb.2021.0001

Modelling that shaped the early COVID-19 pandemic response in the UK

Ellen Brooks-Pollock^*
, Leon Danon
, Thibaut Jombart
, Lorenzo Pellis

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

61 Citations (Scopus)

Abstract

Infectious disease modelling has played an integral part of the scientific evidence used to guide the response to the COVID-19 pandemic. In the UK, modelling evidence used for policy is reported to the Scientific Advisory Group for Emergencies (SAGE) modelling subgroup, SPI-M-O (Scientific Pandemic Influenza Group on Modelling-Operational). This Special Issue contains 20 articles detailing evidence that underpinned advice to the UK government during the SARS-CoV-2 pandemic in the UK between January 2020 and July 2020. Here, we introduce the UK scientific advisory system and how it operates in practice, and discuss how infectious disease modelling can be useful in policy making. We examine the drawbacks of current publishing practices and academic credit and highlight the importance of transparency and reproducibility during an epidemic emergency.

This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.

Original language	English
Article number	20210001
Number of pages	8
Journal	Philosophical Transactions of the Royal Society B: Biological Sciences
Volume	376
Issue number	1829
Early online date	31 May 2021
DOIs	https://doi.org/10.1098/rstb.2021.0001
Publication status	Published - 19 Jul 2021

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Engineering Mathematics Research Group

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Modelling that shaped the early COVID-19 pandemic response in the UK

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