Over the last years, an intensive worldwide effort is speeding up the developments in the
establishment of a global surveillance network for combating pandemics of emergent and re …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Recent work has shown that different theoretical approaches to the dynamics of the
susceptible-infected-susceptible (SIS) model for epidemics lead to qualitatively different …

A survey of the use of graph theoretical techniques in Biology is presented. In particular,
recent work on identifying and modelling the structure of bio-molecular networks is …

Networks are ubiquitous in natural, technological and social systems. They are of increasing
relevance for improved understanding and control of infectious diseases of plants, animals …

We investigate by mean-field analysis and extensive simulations the effects of social impact
on epidemic spreading in various typical networks with two types of nodes: active nodes and …

In this paper, we propose a novel Euclidean distance preferred model yielding small-world
networks in the Euclidean space, on which the epidemics dynamics is investigated. A novel …

Background Viral diseases are highly widespread infections caused by viruses. These
viruses are passing from one human to other humans through a certain medium. The …

Extensive real-data indicate that human motion exhibits novel patterns and has a significant
impact on the epidemic spreading process. The research on the influence of human motion …

An SIS epidemiological model of individuals partitioned into households is studied, where
infections take place either within or between households, the latter generally happening …