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 © Copyright © 2021 Della Morte and Sannino
Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model