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Modeling the role of clusters and diffusion in the evolution of COVID-19 infections during lock-down
The dynamics of the spread of epidemics, such as the recent outbreak of the SARS-CoV-2 virus, is highly nonlinear and therefore difficult to predict. As time evolves in the present pandemic, it appears more and more clearly that a clustered dynamics is a key element of the description. This means th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957454/ https://www.ncbi.nlm.nih.gov/pubmed/33746320 http://dx.doi.org/10.1007/s00466-021-01999-2 |