Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models

We consider a mixture-theoretic continuum model of the spread of COVID-19 in Texas. The model consists of multiple coupled partial differential reaction–diffusion equations governing the evolution of susceptible, exposed, infectious, recovered, and deceased fractions of the total population in a giv...

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Detalles Bibliográficos
Autores principales: Jha, Prashant K., Cao, Lianghao, Oden, J. Tinsley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394277/
https://www.ncbi.nlm.nih.gov/pubmed/32836598
http://dx.doi.org/10.1007/s00466-020-01889-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394277/
https://www.ncbi.nlm.nih.gov/pubmed/32836598
http://dx.doi.org/10.1007/s00466-020-01889-z

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