Imperial College London
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Professor Christl Donnelly CBE FMedSci FRS

Faculty of Medicine, School of Public Health

Visiting Professor
 
 
 
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Contact

 

c.donnelly Website

 
 
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Location

 

School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{McCabe:2021:10.1098/rsfs.2021.0013,
author = {McCabe, R and Donnelly, C},
doi = {10.1098/rsfs.2021.0013},
journal = {Interface Focus},
pages = {1--13},
title = {Disease transmission and control modelling at the science-policy interface},
url = {http://dx.doi.org/10.1098/rsfs.2021.0013},
volume = {11},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The coronavirus disease 2019 (COVID-19) pandemic has disrupted the lives of billions across the world. Mathematical modelling has been a key tool deployed throughout the pandemic to explore the potential public health impact of an unmitigated epidemic. The results of such studies have informed government’s decisions to implement non-pharmaceutical interventions to control the spread of the virus.In this article we explore the complex relationships between models, decision-making, the media and the public during the COVID-19 pandemic in the United Kingdom of Great Britain and Northern Ireland (UK). Doing so not only provides important historical context of COVID-19 modelling and how it has shaped the UK response, but as the pandemic continues and looking towards future pandemic preparedness, understanding these relationships and how they might be improved is critical. As such, we have synthesised information gathered via three methods: a survey to publicly listed attendees of SAGE, SPI-M and other comparable advisory bodies, interviews with science communication experts and former scientific advisors, and reviewing some of the key COVID-19 modelling literature from 2020. Our research highlights the desire for increased bidirectional communication between modellers, decision-makers and the public, as well as the need to convey uncertainty inherent in transmission models in a clear manner. These aspects should be considered carefully ahead of the next emergency response.
AU  - McCabe,R
AU  - Donnelly,C
DO  - 10.1098/rsfs.2021.0013
EP  - 13
PY  - 2021///
SN  - 2042-8901
SP  - 1
TI  - Disease transmission and control modelling at the science-policy interface
T2  - Interface Focus
UR  - http://dx.doi.org/10.1098/rsfs.2021.0013
UR  - https://royalsocietypublishing.org/doi/10.1098/rsfs.2021.0013
UR  - http://hdl.handle.net/10044/1/91290
VL  - 11
ER  -
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