We propose a kinetic model for understanding the link between opinion formation
phenomena and epidemic dynamics. The recent pandemic has brought to light that vaccine …

We present a systematic review of some basic results on the derivation of classical
epidemiological models from simple agent-based dynamics. The evolution of large …

A pipeline to evaluate the evolution of viral dynamics based on a new model-driven
approach has been developed in the present study. The proposed methods exploit real data …

In this work we define a kinetic model for understanding the impact of heterogeneous
opinion formation dynamics on epidemics. The considered many-agent system is …

Most of heterogeneous epidemic models assume exponentially distributed sojourn times in
infectious states, which may not be practical in reality and could affect the dynamics of the …

We introduce model-based transition rates for controlled compartmental models in
mathematical epidemiology, with a focus on the effects of control strategies applied to …

After the recent COVID-19 outbreaks, it became increasingly evident that individuals'
thoughts and beliefs can have a strong impact on disease transmission. It becomes …

In this paper we introduce the optimal control of a kinetic model describing agents who
migrate on a graph and interact within its nodes exchanging a physical quantity. As a …

We study a model for susceptible, infected, quarantined, and recovered (SIQR) populations,
in the presence of an infectious disease. The three feedback controls represent isolation …

This thesis presents various kinetic models (mainly of Boltzmann-type) for multi-agent
systems over social networks. Each chapter is largely based on original work either …