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Mathematical models for simulating Covid-19 contagion in Italy: first wave

Articolo
Data di Pubblicazione:
2020
Abstract:
In this paper, we provide two approximating functions for some dynamics associated with the rst wave of Covid-19 contagion in Italy. We consider also two particular cases of Sicily and Lombardy. We consider only the evolution of total infected cases and new daily cases. We show that the total infected cases need, in the time period considered, two different approximations. We approximate the daily infected curves by the first derivative of the above two functions. In the case of Lombardy, we consider a wider time interval to obtain an ultimate approximation.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
Approximation, Forecasting, Covid-19.
Elenco autori:
Carfì, David; Donato, Alessia
Autori di Ateneo:
CARFI' David
Link alla scheda completa:
https://iris.unime.it/handle/11570/3181422
Pubblicato in:
JOURNAL OF MATHEMATICAL ECONOMICS AND FINANCE
Journal
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