Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Maternal Antibody and ASD: Clinical Data and Animal Models
por: Gata-Garcia, Adriana, et al.
Publicado: (2019) -
Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects
por: Kadi, Halid Abdulrahim, et al.
Publicado: (2023) -
The Data Quality Monitoring Software for the CMS experiment at the LHC: past, present and future
por: Schneider, Marcel Andre
Publicado: (2018) -
The Data Quality Monitoring software for the CMS experiment at the LHC: past, present and future
por: Azzolini, Virginia, et al.
Publicado: (2019) -
Data driven health monitoring of Peltier modules using machine-learning-methods
por: Cotorogea, B.S. Paul Figueroa, et al.
Publicado: (2022)