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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Detalles Bibliográficos
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:
Article
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
Descripción
Sumario: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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