Renormalization Group Approach to Pandemics as a Time-Dependent SIR Model
Michele Della Morte, Francesco Sannino
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.
Topics & Concepts
Epidemic modelRenormalization groupPandemicCoronavirus disease 2019 (COVID-19)Renormalization2019-20 coronavirus outbreakStatistical physicsMathematicsEconometricsComputer sciencePhysicsMathematical physicsDemographySociologyVirologyMedicineInfectious disease (medical specialty)DiseasePathologyPopulationOutbreakCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsSARS-CoV-2 and COVID-19 Research