Machine learning and SIR epidemiological models applied to the analysis of the Italian Lockdown

How many people were involved in the covid-19 epidemic during the Italian Lockdown in Lombardy, Valle d'Aosta, Veneto and Emilia Romagna? 

How open data on infected and recovered individuals were biased by the limited extent in the use of medical swabs? 

How lockdown measures have influenced the spread of covid-19 epidemic in the above regions? 

If you are interested in those questions, then I recommend you my latest article "An Analysis of the Italian Lockdown in Retrospective Using Particle Swarm Optimization Applied to an Epidemiological Model", just published in Physics, as part of the Specials Issue "Physics Methods in Coronavirus Pandemic Analysis":

Abstract: https://lnkd.in/eqdHYJa

PDF Version: https://lnkd.in/eMtsgsD