Data-driven methods for present and future pandemics: Monitoring, modelling and managing()

This survey analyses the role of data-driven methodologies for pandemic modelling and control. We provide a roadmap from the access to epidemiological data sources to the control of epidemic phenomena. We review the available methodologies and discuss the challenges in the development of data-driven...

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Detalles Bibliográficos
Autores principales: Alamo, Teodoro, G. Reina, Daniel, Millán Gata, Pablo, Preciado, Victor M., Giordano, Giulia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238691/
https://www.ncbi.nlm.nih.gov/pubmed/34220287
http://dx.doi.org/10.1016/j.arcontrol.2021.05.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8238691/
https://www.ncbi.nlm.nih.gov/pubmed/34220287
http://dx.doi.org/10.1016/j.arcontrol.2021.05.003

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