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 …

Researchers from various scientific disciplines have attempted to forecast the spread of the
Coronavirus Disease 2019 (COVID-19). The proposed epidemic prediction methods range …

The underlying core of most epidemic models is the graph that specifies the contacts
between healthy and infected individuals. However, in the majority of applications, the …

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 …

The majority of epidemic models are described by non-linear differential equations which do
not have a closed-form solution. Due to the absence of a closed-form solution, the …

We investigate the evolution of epidemics over dynamical networks when nodes choose to
interact with others in a selfish and decentralized manner. Specifically, we analyze the …

The paper studies multi-competitive continuous-time epidemic processes in the presence of
a shared resource. We consider the setting where multiple viruses are simultaneously …

In this letter, we use the spectral properties of graphons to study stability and sensitivity to
noise of deterministic SIS epidemics over large networks. We consider the presence of …