Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ciufolini, Ignazio, Paolozzi, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156796/
https://www.ncbi.nlm.nih.gov/pubmed/32309108
http://dx.doi.org/10.1140/epjp/s13360-020-00383-y