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.
CITATION STYLE
Della Morte, M., & Sannino, F. (2021). Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model. Frontiers in Physics, 8. https://doi.org/10.3389/fphy.2020.591876
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