Spreading processes have been largely studied in the literature, both analytically and by
means of large-scale numerical simulations. These processes mainly include the …

Epidemiological-Mathematical models are powerful tools for estimating the course of a
pandemic and exploring different scenarios through pandemic intervention policies (PIPs) …

The adoption of prophylaxis attitudes, such as social isolation and use of face masks, to
mitigate epidemic outbreaks strongly depends on the support of the population. In this work …

We provide a description of the Epidemics on Networks (EoN) python package designed for
studying disease spread in static networks. The package consists of over $100 $ methods …

A central feature of an emerging infectious disease in a pandemic scenario is the spread
through geographical scales and the impacts on different locations according to the adopted …

Human mobility, contact patterns, and their interplay are key aspects of our social behavior
that shape the spread of infectious diseases across different regions. In the light of new …

The dynamics of a spreading disease and individual behavioral changes are entangled
processes that have to be addressed together in order to effectively manage an outbreak …

Discrete-and continuous-time approaches are frequently used to model the role of
heterogeneity on dynamical interacting agents on the top of complex networks. While, on the …

Many multiagent dynamics can be modeled as a stochastic process in which the agents in
the system change their state over time in interaction with each other. The Gillespie …

This work presents an overview of the evolution of mathematical modeling applied to the
context of epidemics and the advances in modeling in epidemiological studies. In fact …