1.
Italian Journal of Pure and Applied Mathematics
; - (46):768-780, 2021.
Article
in English
| Web of Science | ID: covidwho-1695691
ABSTRACT
A logistical mathematical model allowed analyzing daily data on the evolution of the Covid19 coronavirus epidemic in China. The model made it possible to anticipate some epidemiological data, not easily identifiable by other means. Three forecasts are particularly relevant: the final cumulative value of the infected people equal to 81750, the time when the daily infection reaches the peak, estimated at 06/02/2020, the practical duration of the epidemic estimated at 100 days from the beginning of the infection. The trend of daily contagion data is compatible with a time decreasing average life span of the virus.