Data analysis on Coronavirus spreading by macroscopic growth laws

Castorina, P.; Iorio, A.; Lanteri, D.

To evaluate the effectiveness of the containments on the epidemic spreading of the new Coronavirus disease 2019, we carry on an analysis of the time evolution of the infection in different Countries, by considering well-known macroscopic growth laws, the Gompertz law, and the logistic law. We also propose here a generalization of Gompertz law. Our data analysis permits an evaluation of the maximum number of infected individuals. The daily data must be compared with the obtained fits, to verify if the spreading is under control. From our analysis it appears that the spreading is reaching saturation in China, due to the strong containment policy of the national governments. In Singapore a large growth rate, recently observed, suggests the start of a new strong spreading. For South Korea and Italy, instead, the next data on new infections will be crucial to understand if the saturation will be reached for lower or higher numbers of infected individuals.