Among the realistic ingredients to be considered in the computational modeling of infectious
diseases, human mobility represents a crucial challenge both on the theoretical side and in …

The systematic study of large-scale networks has unveiled the ubiquitous presence of
connectivity patterns characterized by large-scale heterogeneities and unbounded statistical …

Despite their importance for the spread of zoonotic diseases, our understanding of the dynamical
aspects characterizing the movements of farmed animal populations remains limited as …

Background Digital networks, mobile devices, and the possibility of mining the ever-increasing
amount of digital traces that we leave behind in our daily activities are changing the way …

Background More than half of the global population is under strict forms of social distancing.
Estimating the expected impact of lockdown and exit strategies is critical to inform decision …

Dynamical reaction–diffusion processes and metapopulation models are standard modelling
approaches for a wide array of phenomena in which local quantities—such as density, …

Background The highly pathogenic H5N1 avian influenza virus, which is now widespread in
Southeast Asia and which diffused recently in some areas of the Balkans region and …

The spatial structure of populations is a key element in the understanding of the large-scale
spreading of epidemics. Motivated by the recent empirical evidence on the heterogeneous …

Background Computational models play an increasingly important role in the assessment and
control of public health crises, as demonstrated during the 2009 H1N1 influenza pandemic…

We study the dynamics of epidemic and reaction-diffusion processes in metapopulation
models with heterogeneous connectivity patterns. In susceptible-infected-removed-like …