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Thanks to mathematical models and predictions, Gianluca Malato - a Data Scientist, fiction author and software developer - compared logistic and exponential models applied to Covid-19 virus infection in Italy. Both models help to better understand the evolution of the infection. The data preparation and python coding are detailed in an article posted in Towards Data Science on 8 March 2020. At that time, the main projections - now checked regularly by this Covid-19 Italian infection collaborative research - were:

• The expected number of infected people at infection end is 15968 +/- 4174.
• The infection peak is expected around 9 March 2020.
• The expected infection should end on 15 April 2020.
• Read the Covid-19 infection in Italy article in Towards Data Science