We present and discuss a variety of mathematical models that have been proposed to
capture the dynamic behavior of epidemic processes. We first present traditional group …

Channel networks are key to coastal wetland functioning and resilience under climate
change. Vegetation affects sediment and hydrodynamics in many different ways, which calls …

During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …

In this paper, we introduce a model for multiple competing viruses over networks, derived
using each state variable of the model as the infection percentage of a group or a …

We propose a mathematical model to study coupled epidemic and opinion dynamics in a
network of communities. Our model captures SIS epidemic dynamics, whose evolution is …

This paper studies a networked bivirus model, in which two competing viruses spread
across a network of interconnected populations; each node represents a population with a …

In this paper, we investigate the problem of designing event-triggered controllers for
containing epidemic processes in complex networks. We focus on a deterministic …

Italy was the first country to be affected by the COVID-19 epidemic in Europe. In the past
months, predictive mathematical models have been used to understand the proportion of …

Motivated by the ongoing pandemic COVID-19, we propose a closed-loop framework that
combines inference from testing data, learning the parameters of the dynamics and optimal …

Since human face-to-face communications change over time, their perceived probabilities
associated with uncertain outcomes usually present a nonlinear fashion in reality. This …