In this review, we successively present the methods for phenomenological modeling of the
evolution of reported and unreported cases of COVID-19, both in the exponential phase of …

Objective: The objective of this article is to develop a robust method for forecasting the
transition from endemic to epidemic phases in contagious diseases using COVID-19 as a …

Background: The adventure of the mRNA vaccine began thirty years ago in the context of
influenza. This consisted in encapsulating the mRNA coding for a viral protein in a lipid …

The COVID-19 pandemic continues to emphasize the importance of epidemiological
modelling in guiding timely and systematic responses to public health threats. Nonetheless …

The present paper aims to apply the mathematical ideas of the contagion networks in a
discrete dynamic context to the modeling of two current pandemics, ie, COVID-19 and …

In this work, we consider a nonparametric prediction of a spatiofunctional process observed
under a non-random sampling design. The proposed predictor is based on functional …

In this study, the problem of conditional density estimation of a scalar response variable,
given a functional covariable, is considered. A new estimator is proposed by combining the k …

We consider a retrospective modelling approach for estimating effective reproduction
numbers based on death counts during the first year of the COVID-19 pandemic in Germany …

Background COVID-19 is a pandemic of unprecedented proportions in recent human
history. To date, the world has paid a high toll in terms of human lives lost, and on economic …

Revisiting the classical model by Ross and Kermack-McKendrick, the Susceptible–Infectious–
Recovered (SIR) model used to formalize the COVID-19 epidemic, requires improvements …