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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2020
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| Materias: | |
| 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 |