System Inference Via Field Inversion for the Spatio-Temporal Progression of Infectious Diseases: Studies of COVID-19 in Michigan and Mexico

We present an approach to studying and predicting the spatio-temporal progression of infectious diseases. We treat the problem by adopting a partial differential equation (PDE) version of the Susceptible, Infected, Recovered, Deceased (SIRD) compartmental model of epidemiology, which is achieved by...

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Detalles Bibliográficos
Autores principales: Wang, Zhenlin, Carrasco-Teja, Mariana, Zhang, Xiaoxuan, Teichert, Gregory H., Garikipati, Krishna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484856/
https://www.ncbi.nlm.nih.gov/pubmed/34611391
http://dx.doi.org/10.1007/s11831-021-09643-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484856/
https://www.ncbi.nlm.nih.gov/pubmed/34611391
http://dx.doi.org/10.1007/s11831-021-09643-1

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