Pre-print | medrxiv (2021)

Modelling COVID-19 evolution in Italy with an augmented SIRD model using open data

Vincenzo Nardelli, Giuseppe Arbia, Andrea Palladino, Luigi Giuseppe Atzeni

Abstract

We propose an augmented version of the traditional SIRD epidemic model and we estimate its parameters using the SaRs-Cov-2 Italian open-data. The model’s parameters are estimated partly using numerical optimization and partly with ABC. Our estimation procedure provides a good fit to real data.

Covid Epidemic