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Mathematical prediction of the time evolution of the COVID-19 pandemic in Italy by a Gauss error function and Monte Carlo simulations

In this paper are presented mathematical predictions on the evolution in time of the number of positive cases in Italy of the COVID-19 pandemic based on official data and on the use of a function of the type of a Gauss error function, with four parameters, as a cumulative distribution function. We h...

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Detalles Bibliográficos
Publicado en:Eur Phys J Plus
Main Authors: Ciufolini, Ignazio, Paolozzi, Antonio
Formato: Artigo
Idioma:Inglês
Publicado: Springer Berlin Heidelberg 2020
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7156796/
https://ncbi.nlm.nih.gov/pubmed/32309108
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1140/epjp/s13360-020-00383-y
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