Open AccessModelling that shaped the early COVID-19 pandemic response in the UK
Author(s) -
Ellen Brooks-Pollock,
León Da,
Thibaut Jombart,
Lorenzo Pellis
Publication year - 2021
Publication title -
philosophical transactions - royal society. biological sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.753
H-Index - 272
eISSN - 1471-2970
pISSN - 0962-8436
DOI - 10.1098/rstb.2021.0001
Subject(s) - pandemic , covid-19 , transparency (behavior) , government (linguistics) , political science , infectious disease (medical specialty) , scientific evidence , publishing , public relations , disease , medicine , law , linguistics , philosophy , epistemology , pathology
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’.