TY - JOUR
T1 - Modelling that shaped the early COVID-19 pandemic response in the UK
AU - Brooks-Pollock, Ellen
AU - Danon, Leon
AU - Jombart, Thibaut
AU - Pellis, Lorenzo
N1 - Publisher Copyright:
© 2021 The Authors.
PY - 2021/7/19
Y1 - 2021/7/19
N2 - 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'.
AB - 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'.
KW - COVID-19
KW - infectious disease modelling
KW - modelling for policy
UR - https://www.scopus.com/pages/publications/85107255932
U2 - 10.1098/rstb.2021.0001
DO - 10.1098/rstb.2021.0001
M3 - Article
C2 - 34053252
AN - SCOPUS:85107255932
SN - 0962-8436
VL - 376
JO - Philosophical Transactions of the Royal Society B: Biological Sciences
JF - Philosophical Transactions of the Royal Society B: Biological Sciences
IS - 1829
M1 - 20210001
ER -
