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On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy
While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts of the epidemics pushes fits of dynamical and statistical models to available data beyond their capabilities. Here we focus on statistical predictions of COVID-19 infections performed by fitting asympt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263229/ https://www.ncbi.nlm.nih.gov/pubmed/32834701 http://dx.doi.org/10.1016/j.cnsns.2020.105372 |