We review behavioural change models (BCMs) for infectious disease transmission in
humans. Following the Cochrane collaboration guidelines and the PRISMA statement, our …

Objectives To examine recent literature in order to present a comprehensive overview of the
current trends as regards the computational models used to represent the propagation of an …

Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly
modeling and quantifying human mobility is critical for studying large-scale spatial …

Fake news that manipulates political elections, strikes financial systems, and even incites
riots is more viral than real news online, resulting in unstable societies and buffeted …

In December 2019, the novel coronavirus pneumonia (COVID-19) occurred in Wuhan,
Hubei Province, China. The epidemic quickly broke out and spread throughout the country …

Social media platforms offer their audience the possibility to reply to posts through
comments and reactions. This allows social media users to express their ideas and opinions …

Social distancing can be divided into two categories: spontaneous social distancing adopted
by the individuals themselves, and public social distancing promoted by the government …

We study a susceptible-infected-susceptible epidemic process over a static contact network
where the nodes have partial information about the epidemic state. They react by limiting …

In this paper, we present a new SIS model with delay on scale-free networks. The model is
suitable to describe some epidemics which are not only transmitted by a vector but also …

Growing interest has emerged in the study of the interplay between awareness and
epidemics in multiplex networks. However, previous studies on this issue usually assume …