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A Note on the Evolution of Covid-19 in Italy

2020/03/19 by G. Dattoli, Dattoli, Giuseppe, E. Di Palma +5 · 2 citations
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Statistical Mechanics and Entropy #Advanced Thermodynamics and Statistical Mechanics

paper · pdf · doi:10.48550/arxiv.2003.08684

Abstract

We employ methods largely exploited in Physics, in the analysis of the evolution of dynamical systems, to study the pattern of the Covid-19 infection in Italy. The techniques we employ are based on the use of logistic function and of its derivative, namely the Hubbert function. The latter is exploited to give a prediction on the number of infected per day. We also mention the possibility of taking advantage from other mathematical tools based e.g. on the Gompertz equation and make some comparison on the different predictive capabilities.

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