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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...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7595316/ https://ncbi.nlm.nih.gov/pubmed/33119708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241472 |
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