Author: Ignazio Ciufolini; Antonio Paolozzi
Title: Prediction of the time evolution of the Covid-19 Pandemic in Italy by a Gauss Error Function and Monte Carlo simulations Document date: 2020_3_30
ID: ltcfsrb2_3
Snippet: Based on the number of diagnosed positive cases of Covid-19 in China, we have fitted the cumulative numbers with a function of the type of the Gauss Error Function + erf ( − ) containing the four parameters , , , , that we have fitted using the available official data. Such a distribution is also observed in other studies of seasonal influenza 4 . The result of the fit is reported in Fig. 1 , which shows the good level of the fit using such Gau.....
Document: Based on the number of diagnosed positive cases of Covid-19 in China, we have fitted the cumulative numbers with a function of the type of the Gauss Error Function + erf ( − ) containing the four parameters , , , , that we have fitted using the available official data. Such a distribution is also observed in other studies of seasonal influenza 4 . The result of the fit is reported in Fig. 1 , which shows the good level of the fit using such Gauss Error Function with those four parameters.
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