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The challenges of data in future pandemics

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...

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Autores principales: Shadbolt, Nigel, Brett, Alys, Chen, Min, Marion, Glenn, McKendrick, Iain J., Panovska-Griffiths, Jasmina, Pellis, Lorenzo, Reeve, Richard, Swallow, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297658/
https://www.ncbi.nlm.nih.gov/pubmed/35930904
http://dx.doi.org/10.1016/j.epidem.2022.100612
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author Shadbolt, Nigel
Brett, Alys
Chen, Min
Marion, Glenn
McKendrick, Iain J.
Panovska-Griffiths, Jasmina
Pellis, Lorenzo
Reeve, Richard
Swallow, Ben
author_facet Shadbolt, Nigel
Brett, Alys
Chen, Min
Marion, Glenn
McKendrick, Iain J.
Panovska-Griffiths, Jasmina
Pellis, Lorenzo
Reeve, Richard
Swallow, Ben
author_sort Shadbolt, Nigel
collection PubMed
description 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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spelling pubmed-92976582022-07-20 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 Epidemics Article 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. The Authors. Published by Elsevier B.V. 2022-09 2022-07-20 /pmc/articles/PMC9297658/ /pubmed/35930904 http://dx.doi.org/10.1016/j.epidem.2022.100612 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Shadbolt, Nigel
Brett, Alys
Chen, Min
Marion, Glenn
McKendrick, Iain J.
Panovska-Griffiths, Jasmina
Pellis, Lorenzo
Reeve, Richard
Swallow, Ben
The challenges of data in future pandemics
title The challenges of data in future pandemics
title_full The challenges of data in future pandemics
title_fullStr The challenges of data in future pandemics
title_full_unstemmed The challenges of data in future pandemics
title_short The challenges of data in future pandemics
title_sort challenges of data in future pandemics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9297658/
https://www.ncbi.nlm.nih.gov/pubmed/35930904
http://dx.doi.org/10.1016/j.epidem.2022.100612
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