We study metapopulation models for the spread of epidemics in which different
subpopulations (cities) are connected by fluxes of individuals (travelers). This framework …

In this survey we report some recent results in the mathematical modelling of epidemic
phenomena through the use of kinetic equations. We initially consider models of interaction …

Network-based epidemic models have been extensively employed to understand the spread
of infectious diseases, but have generally overlooked the fact that most realistic networks are …

By generating transient encounters between individuals beyond their immediate social
environment, transport can have a profound impact on the spreading of an epidemic. In this …

In human society, individual interactions intrinsically change, with profound implications for
epidemics. The activity-driven model, a type of temporal network, offers an excellent …

We present an epidemiological model, which extend the classical SEIR model by
accounting for the presence of asymptomatic individuals and the effect of isolation of …

Proximity social interactions are crucial for infectious diseases transmission. Crowded
agglomerations pose serious risk of triggering superspreading events. Locations like …

The process of transmission of infection in epidemics is analyzed by studying a pair of
random walkers, the motion of each of which in two dimensions is confined spatially by the …

The dynamics of the SIS process on heterogenous networks, where different local
communities are connected by airlines, is studied. We suggest a new modeling technique …

We propose a model of mobile agents to study the epidemic spreading in communities with
different densities of agents, which aims to simulate the realistic situation of multiple cities …