The challenges of data in future pandemics

Shadbolt, Nigel; Brett, Alys; Chen, Min; Marion, Glenn; McKendrick, Iain J; Panovska-Griffiths, Jasmina; Pellis, Lorenzo; Reeve, Richard; Swallow, Ben

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Date

09/2022

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Abstract

The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to populate our models, inform our understanding, and shape our responses to the disease. However, data has not always been easy to find and access, it has varied in quality and coverage, been difficult to reuse or repurpose. This paper reviews these and other challenges and recommends steps to develop a data ecosystem better able to deal with future pandemics by better supporting preparedness, prevention, detection and response.

Citation

Shadbolt , N , Brett , A , Chen , M , Marion , G , McKendrick , I J , Panovska-Griffiths , J , Pellis , L , Reeve , R & Swallow , B 2022 , ' The challenges of data in future pandemics ' , Epidemics , vol. 40 , 100612 . https://doi.org/10.1016/j.epidem.2022.100612

Publication

Epidemics

Status

Peer reviewed

DOI

https://doi.org/10.1016/j.epidem.2022.100612

ISSN

1878-0067

Type

Journal article

Rights

Description

This work was supported by Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/R014604/1. M.C. was funded by the Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/V054236/1. G.M. is supported by the Scottish Government’s Rural and Environment Science and Analytical Services Division (RESAS). J.P-G’s work is supported by funding from the UK Health Security Agency and the UK Department of Health and Social Care. L.P. is funded by the Wellcome Trust, UK and the Royal Society, UK (grant no. 202562/Z/16/Z). L.P. is supported by the UK Research and Innovation (UKRI) through the JUNIPER modelling consortium (grant no. MR/V038613/1). L.P. is also supported by The Alan Turing Institute for Data Science and Artificial Intelligence, UK. R.R was supported by the Natural Environment Research Council (NERC) grant no. NE/T004193/1 and NE/T010355/1, the Engineering and Physical Sciences Research Council (EPSRC) grant no. EP/V054236/1 and the Science and Technology Facilities Council (STFC) grant no. ST/V006126/1.

Collections

University of St Andrews Research

URI

http://hdl.handle.net/10023/26089