Background: COVID-19 was first reported in 2019, and the Chinese government
immediately carried out stringent and effective control measures in response to the …

We propose a compartmental SIRD model with time-dependent parameters that can be
used to give epidemiological interpretations to the phenomenological parameters of the …

We apply a generalized logistic growth model, with time-dependent parameters, to describe
the fatality curves of the COVID-19 disease for several countries that exhibit multiple waves …

Phenomenological growth models (PGMs) provide a framework for characterizing epidemic
trajectories, estimating key transmission parameters, gaining insight into the contribution of …

The response of the scientific community to the global health emergency caused by the
COVID-19 pandemic has produced an unprecedented number of manuscripts in a short …

We apply a generalised logistic growth model, with time dependent parameters, to describe
the fatality curves of the COVID-19 disease for several countries that exhibit a second wave …

We analyzed the number of cumulative positive cases of COVID-19 as a function of time in
countries around the World. We tracked the increase in cases from the onset of the …

In this thesis I present experimental and theoretical results showing that an ultracold gas
under laser excitation to Rydberg states offers a controllable platform for studying the …

In this technical note we analyze the accumulated fatality curves attributed to Covid-19 in the
27 Brazilian state capitals until July 19, 2020. We employed three mathematical growth …

Résumé Dans cette thèse, je présente des résultats expérimentaux et théoriques montrant
qu'un gaz ultra-froid sous excitation laser aux états de Rydberg offre une plateforme …