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Renormalisation Group Methods for Effective Epidemiological Models
Epidemiological models describe the spread of an infectious disease within a population.
Information Theory Unification of Epidemiological and Population Dynamics
Concretely, we propose a simple form of the metric for which we can analytically solve the dynamics of the system that well approximates the time evolution of various established models in epidemiology and population dynamics, thus providing a unifying framework.
Effective Mathematical Modelling of Health Passes during a Pandemic
We study the impact on the epidemiological dynamics of a class of restrictive measures that are aimed at reducing the number of contacts of individuals who have a higher risk of being infected with a transmittable disease.
Variant-driven multi-wave pattern of COVID-19 via a Machine Learning analysis of spike protein mutations
Furthermore, correlating persistent variants of our approach to epidemiological data, we discover that each new wave of the COVID-19 pandemic is driven and dominated by a new emerging variant.
Epidemiological theory of virus variants
We propose a physical theory underlying the temporal evolution of competing virus variants that relies on the existence of (quasi) fixed points capturing the large time scale invariance of the dynamics.
The field theoretical ABC of epidemic dynamics
As important test of the relevance of symmetries we show how to mathematically account for observed phenomena such as multi-wave dynamics.
