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A discrete-time-evolution model to forecast progress of Covid-19 outbreak
Here we present a discrete-time-evolution model with one day interval to forecast the propagation of Covid-19. The proposed model can be easily implemented with daily updated data sets of the pandemic publicly available by distinct online sources. It has only two adjustable parameters and it predict...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595316/ https://www.ncbi.nlm.nih.gov/pubmed/33119708 http://dx.doi.org/10.1371/journal.pone.0241472 |