Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

We use aggregated data from Facebook to show that COVID-19 is more likely to spread
between regions with stronger social network connections. Areas with more social ties to two …

Networks are one of the most common ways to represent biological systems as complex sets
of binary interactions or relations between different bioentities. In this article, we discuss the …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

BACKGROUND Despite many notable successes in prevention and control, infectious
diseases remain an enormous threat to human and animal health. The ecological and …

In academia, as well in the industry, there is currently an increasing interest in the concept of
smart tourism destinations. Specifically, there is widespread recognition of the role that ICTs …

A comprehensive introduction to the role of epidemiology in veterinary medicine This fully
revised and expanded edition of Veterinary Epidemiology introduces readers to the field of …