The challenges of data in future pandemics

Shadbolt, N., Brett, A., Chen, M., Marion, G., McKendrick, I. J., Panovska-Griffiths, J., Pellis, L., Reeve, R. and Swallow, B. (2022) The challenges of data in future pandemics. Epidemics, 40, 100612. (doi: 10.1016/j.epidem.2022.100612) (PMID:35930904) (PMCID:PMC9297658)

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.

• Item Type: Articles
• Keywords: Pandemic preparedness, FAIR data, data ecosystem, data lifecycles, COVID-19, data and models.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Swallow, Dr Ben and Reeve, Professor Richard
• Authors: Shadbolt, N., Brett, A., Chen, M., Marion, G., McKendrick, I. J., Panovska-Griffiths, J., Pellis, L., Reeve, R., and Swallow, B.
• College/School: College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine; College of Science and Engineering > School of Mathematics and Statistics > Statistics
• Journal Name: Epidemics
• Publisher: Elsevier
• ISSN: 1755-4365
• ISSN (Online): 1878-0067
• Published Online: 20 July 2022
• Copyright Holders: Copyright © 2022 The Authors
• First Published: First published in Epidemics 40: 100612
• Publisher Policy: Reproduced under a Creative Commons License

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
307517		Landscape Decisions: Towards a new framework for using land assets programme	Richard Reeve	Natural Environment Research Council (NERC)	NE/T004193/1	M&S - Mathematics
309089		Simulating UK plant biodiversity under climate change to aid landscape decision making	Richard Reeve	Natural Environment Research Council (NERC)	NE/T010355/1	M&S - Mathematics
312172		RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19	Euan Freeman	Engineering and Physical Sciences Research Council (EPSRC)	DFR06720	Computing Science
311856		Open Epidemiology for COVID-19: a transparent, traceable, open source pipeline for reproducible science	Richard Reeve	Science and Technology Facilities Council (STFC)	ST/V006126/1	Institute of Biodiversity, Animal Health and Comparative Medicine