Data-driven multiscale modelling and analysis of COVID-19 spatiotemporal evolution using explainable AI

To quantificationally identify the optimal control measures for regulators to best minimize COVID-19′s growth (G-rate) and death (D-rate) rates in today's context, this paper develops a top-down multiscale engineering approach which encompasses a series of systematic analyses, namely: (global s...

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Detalles Bibliográficos
Autores principales: Chew, Alvin Wei Ze, Zhang, Limao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832881/
https://www.ncbi.nlm.nih.gov/pubmed/35186668
http://dx.doi.org/10.1016/j.scs.2022.103772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832881/
https://www.ncbi.nlm.nih.gov/pubmed/35186668
http://dx.doi.org/10.1016/j.scs.2022.103772

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