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 …

The importance of spatial networks in the spread of an epidemic is an essential aspect in
modeling the dynamics of an infectious disease. Additionally, any realistic data-driven model …

The spread of COVID-19 has been thwarted in most countries through non-pharmaceutical
interventions. In particular, the most effective measures in this direction have been the stay …

Several epidemiological models have been proposed to study the evolution of COVID-19
pandemic. In this paper, we propose an extension of the SUIHTER model, to analyse the …

In this survey we report some recent results in the mathematical modelling of epidemic
phenomena through the use of kinetic equations. We initially consider models of interaction …

When investigating epidemic dynamics through differential models, the parameters needed
to understand the phenomenon and to simulate forecast scenarios require a delicate …

This paper presents a critical analysis of the literature and perspective research ideas for
modeling the epidemics caused by the SARS-CoV-2 virus. It goes beyond deterministic …

The COVID-19 pandemic is still ongoing, even if the emergency is over, and we now have
enough data to analyze the outbreak over a long timeline. There is evidence that the …

The outbreak of COVID-19, beginning in 2019 and continuing through the time of writing,
has led to renewed interest in the mathematical modeling of infectious disease. Recent …

Purpose: This paper studies a simple SVIR (susceptible, vaccinated, infected, recovered)
type of model to investigate the coronavirus's dynamics in Saudi Arabia with the recent …