Research into network dynamics of spreading processes typically employs both discrete and
continuous time methodologies. Although each approach offers distinct insights, integrating …

The spatiotemporal propagation patterns of recent infectious diseases, originated as
localized epidemic outbreaks and eventually becoming global pandemics, are highly …

The increasing agglomeration of people in dense urban areas coupled with the existence of
efficient modes of transportation connecting such centers, make cities particularly vulnerable …

The spread of COVID-19 has been thwarted in most countries through non-pharmaceutical
interventions. In particular, the most effective measures in this direction have been the stay …

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 …

Understanding the feedback loop that links the spatiotemporal spread of infectious diseases
and human behavior is an open problem. To study this problem, we develop a multiplex …

Compartmental models are the most widely used framework for modeling infectious
diseases. These models have been continuously refined to incorporate all the realistic …

Abstract From March to June 2022, Shanghai was struck by a new coronavirus variant,
Omicron, resulting in the infected cases of at least 600,000 people. Despite implementing a …

Intervention strategies are of great significance for controlling large-scale outbreaks of
epidemics. Since the spread of epidemic depends largely on the movement of individuals …

The analysis of contagion–diffusion processes in metapopulations is a powerful theoretical
tool to study how mobility influences the spread of communicable diseases. Nevertheless …