The challenges of data in future pandemics

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

doi:10.1016/j.epidem.2022.100612

The challenges of data in future pandemics

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

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.

Original language	English
Article number	100612
Journal	Epidemics
Volume	40
DOIs	https://doi.org/10.1016/j.epidem.2022.100612
Publication status	Published - Sept 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

COVID-19
Data and models
Data ecosystem
Data lifecycles
FAIR data
Pandemic preparedness

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10.1016/j.epidem.2022.100612

Cite this

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title = "The challenges of data in future pandemics",

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.",

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author = "Nigel Shadbolt and Alys Brett and Min Chen and Glenn Marion and McKendrick, \{Iain J.\} and Jasmina Panovska-Griffiths and Lorenzo Pellis and Richard Reeve and Ben Swallow",

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AU - Shadbolt, Nigel

AU - Brett, Alys

AU - Chen, Min

AU - Marion, Glenn

AU - McKendrick, Iain J.

AU - Panovska-Griffiths, Jasmina

AU - Pellis, Lorenzo

AU - Reeve, Richard

AU - Swallow, Ben

PY - 2022/9

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AB - 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.

KW - COVID-19

KW - Data and models

KW - Data ecosystem

KW - Data lifecycles

KW - FAIR data

KW - Pandemic preparedness

UR - https://www.scopus.com/pages/publications/85138447090

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DO - 10.1016/j.epidem.2022.100612

M3 - Article

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AN - SCOPUS:85138447090

SN - 1755-4365

VL - 40

JO - Epidemics

JF - Epidemics

M1 - 100612

ER -

The challenges of data in future pandemics

Abstract

Bibliographical note

UN SDGs

Keywords

Access to Document

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