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

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...

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Detalles Bibliográficos
Autores principales: Brooks-Pollock, Ellen, Danon, Leon, Jombart, Thibaut, Pellis, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165593/
https://www.ncbi.nlm.nih.gov/pubmed/34053252
http://dx.doi.org/10.1098/rstb.2021.0001
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author Brooks-Pollock, Ellen
Danon, Leon
Jombart, Thibaut
Pellis, Lorenzo
author_facet Brooks-Pollock, Ellen
Danon, Leon
Jombart, Thibaut
Pellis, Lorenzo
author_sort Brooks-Pollock, Ellen
collection PubMed
description 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’.
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spelling pubmed-81655932021-06-03 Modelling that shaped the early COVID-19 pandemic response in the UK Brooks-Pollock, Ellen Danon, Leon Jombart, Thibaut Pellis, Lorenzo Philos Trans R Soc Lond B Biol Sci Introduction 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’. The Royal Society 2021-07-19 2021-05-31 /pmc/articles/PMC8165593/ /pubmed/34053252 http://dx.doi.org/10.1098/rstb.2021.0001 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Introduction
Brooks-Pollock, Ellen
Danon, Leon
Jombart, Thibaut
Pellis, Lorenzo
Modelling that shaped the early COVID-19 pandemic response in the UK
title Modelling that shaped the early COVID-19 pandemic response in the UK
title_full Modelling that shaped the early COVID-19 pandemic response in the UK
title_fullStr Modelling that shaped the early COVID-19 pandemic response in the UK
title_full_unstemmed Modelling that shaped the early COVID-19 pandemic response in the UK
title_short Modelling that shaped the early COVID-19 pandemic response in the UK
title_sort modelling that shaped the early covid-19 pandemic response in the uk
topic Introduction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165593/
https://www.ncbi.nlm.nih.gov/pubmed/34053252
http://dx.doi.org/10.1098/rstb.2021.0001
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