no code implementations • 25 Nov 2023 • David Lyver, Mihai Nica, Corentin Cot, Giacomo Cacciapaglia, Zahra Mohammadi, Edward W. Thommes, Monica-Gabriela Cojocaru
The epidemiology of pandemics is classically viewed using geographical and political borders; however, these artificial divisions can result in a misunderstanding of the current epidemiological state within a given region.
no code implementations • 15 Sep 2021 • Anna Sigridur Islind, María Óskarsdóttir, Corentin Cot, Giacomo Cacciapaglia, Francesco Sannino
In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups.
no code implementations • 21 Jul 2021 • Adele de Hoffer, Shahram Vatani, Corentin Cot, Giacomo Cacciapaglia, Maria Luisa Chiusano, Andrea Cimarelli, Francesco Conventi, Antonio Giannini, Stefan Hohenegger, Francesco Sannino
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.
no code implementations • 28 Jun 2021 • Giacomo Cacciapaglia, Corentin Cot, Adele de Hoffer, Stefan Hohenegger, Francesco Sannino, Shahram Vatani
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.
no code implementations • 25 Jan 2021 • Giacomo Cacciapaglia, Corentin Cot, Michele Della Morte, Stefan Hohenegger, Francesco Sannino, Shahram Vatani
As important test of the relevance of symmetries we show how to mathematically account for observed phenomena such as multi-wave dynamics.
no code implementations • 22 Dec 2020 • Giacomo Cacciapaglia, Corentin Cot, Anna Sigridur Islind, María Óskarsdóttir, Francesco Sannino
We employ the epidemic Renormalization Group (eRG) framework to understand, reproduce and predict the COVID-19 pandemic diffusion across the US.
Physics and Society Populations and Evolution