We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with time-dependent coefficients. We then confront the model with COVID-19 in Denmark, Germany, Italy and France and show that the approach works rather well in reproducing the data. We also show that a better understanding of the time dependence of the recovery rate would require extending the model to take into account the number of deaths whenever these are over 15% of the cumulative number of infected cases.
Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model / Della Morte, M.; Sannino, F.. - In: FRONTIERS IN PHYSICS. - ISSN 2296-424X. - 8:(2021). [10.3389/fphy.2020.591876]
Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model
Della Morte M.;Sannino F.
Writing – Original Draft Preparation
2021
Abstract
We generalise the epidemic Renormalization Group framework while connecting it to a SIR model with time-dependent coefficients. We then confront the model with COVID-19 in Denmark, Germany, Italy and France and show that the approach works rather well in reproducing the data. We also show that a better understanding of the time dependence of the recovery rate would require extending the model to take into account the number of deaths whenever these are over 15% of the cumulative number of infected cases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
