Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

Mathematical Modelling and Epidemiological Analysis of COVID-19 Data

by Alessia Melegaro (in collaboration with Regione Lombardia and Bruno Kessler Foundation)


The project represents an ongoing collaboration between Bocconi University, FBK and Regione Lombardia to provide real time analysis of data, and relevant epidemiological quantities to understand the spread of the infection, the determining factors and to predict the evolution of the epidemic curve under alternative re-opening scenarios. To reach these aims the project is based on statistical analysis and mathematical modelling techniques which allow to produce real time estimation of the variation in the transmission potential during the different phases of the pandemic.


The Paper: "The early phase of the COVID-19 outbreak in Lombardy" by Cereda, Tirani, Rovida, Demicheli, Ajelli, Poletti, Trentini, Guzzetta, Marziano, Barone, Magoni, Deandrea, Diurno, Lombardo, Faccini, Pan, Bruno, Pariani, Grasselli, Piatti, Gramegna, Baldanti, Melegaro, Merler