activity
20202023
most citedEpidemiological theory of virus variants

19 citations · 63 across the 13 of their papers we have counts for

collaborators

14 papers

q-bio.PE2023

Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights

David Lyver, Mihai Nica, Corentin Cot +4

The epidemiology of pandemics is classically viewed using geographical and political borders; however, these artificial divisions can result in a misunderstanding of the current ep…

physics.soc-ph2023

Maritime transportation and people mobility in the early diffusion of COVID-19 in Croatia

Corentin Cot, Dea Aksentijević, Alen Jugović +2

The outbreak of COVID-19 in Europe occurred in early 2020. During the year, several waves of infection developed with different timings across the European countries. The onset of…

hep-th2022

SU(5) aGUT: a minimal asymptotic grand unification model

Giacomo Cacciapaglia, Ammar Abdalgabar, Corentin Cot +3

We present a new grand unification paradigm, where gauge couplings do not need to be equal at any given scale, instead they run towards the same fixed point in the deep ultraviolet…

hep-ph2022★ 2 cited

Asymptotic Grand Unification: The SO(10) case

Mohammed Omer Khojali, Alan S. Cornell, Aldo Deandrea +3

We explicitly test the asymptotic grand unification of a minimal 5-dimensional model with SO(10) gauge theory compactified on an orbifold. We con…

q-bio.PE2021

Nordic vaccination strategies face/off via age range comparative analysis on key indicators of COVID-19 severity and healthcare stress level

Anna Sigridur Islind, María Óskarsdóttir, Corentin Cot +2

In this paper we analyze the impact of vaccinations on spread of the COVID-19 virus for different age groups. More specifically we examine the deployment of vaccines in the Nordic…

q-bio.GN2021

Variant-driven multi-wave pattern of COVID-19 via a Machine Learning analysis of spike protein mutations

Adele de Hoffer, Shahram Vatani, Corentin Cot +7

Applying a ML approach to the temporal variability of the Spike protein sequence enables us to identify, classify and track emerging virus variants. Our analysis is unbiased, in th…