Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

by Alessia MelegaroRaffaella Piccarreta, Filippo Trentini and Adriana Manna in collaboration with Regione Lombardia, Bruno Kessler Foundation and ISS Roma


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.


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