We report the results of a series of simulations of a susceptible-infected-recovered epidemic
model in heterogeneous spatial metapopulation networks with quantitative knowledge of …

Much recent research has shown that network structure and human mobility have great
influences on epidemic spreading. In this paper, we propose a discrete-time Markov chain …

In this paper, we study epidemic spreading in metapopulation networks wherein each node
represents a subpopulation symbolizing a city or an urban area and links connecting nodes …

Hierarchical geographical traffic networks are critical for our understanding of scaling laws in
human trajectories. Here, we investigate the susceptible-infected epidemic process evolving …

Metapopulation epidemic models describe epidemic dynamics in networks of spatially
distant patches connected via pathways for migration of individuals. In the present study, we …

Epidemic dynamics in a structured population has been widely investigated in recent years
by utilizing the metapopulation framework with a reaction-diffusion approach. In this paper …

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

It is often useful to represent the infectious dynamics of mobile agents by metapopulation
models. In such a model, metapopulations form a static network, and individuals migrate …

We review and introduce a generalized reaction-diffusion approach to epidemic spreading
in a metapopulation modeled as a complex network. The metapopulation consists of …

Considering that people may change their face-to-face communication patterns with others
depending on the season, we propose an epidemic model that incorporates a time-varying …