Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

by Alessia Melegaro and Raffaella Piccarreta in collaboration with Regione Lombardia and Bruno Kessler Foundation


We provide real time analysis of data, and relevant epidemiological quantities to understand the spread of SARS-CoV-2 infection, the determining factors and to predict the evolution of the epidemic curve. To reach these aims we use statistical analysis and epidemiological modelling techniques which allow to produce real time estimation of the variation in the transmission potential during the different phases of the pandemic.


Publications: