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Spatio-temporal spread of COVID-19: Comparison of the inhomogeneous SEPIR model and data from South Carolina
During the COVID-19 pandemic authorities have been striving to obtain reliable predictions for the spreading dynamics of the disease. We recently developed a multi-“sub-populations” (multi-compartments: susceptible, exposed, pre-symptomatic, infectious, recovered) model, that accounts for the spatia...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182687/ https://www.ncbi.nlm.nih.gov/pubmed/35679238 http://dx.doi.org/10.1371/journal.pone.0268995 |