We expect social networks to change as a result of illness, but social contact data are
generally collected from healthy persons. Here we quantified the impact of influenza-like …

The interaction of human social behaviour and transmission is an intriguing aspect of the life
cycle of respiratory viral infections. Although age-specific mixing patterns are often assumed …

Evaluating the impact of different social networks on the spread of respiratory diseases has
been limited by a lack of detailed data on transmission outside the household setting as well …

Variability in the risk of transmission for respiratory pathogens can result from several
factors, including the intrinsic properties of the pathogen, the immune state of the host and …

Mathematical models of influenza pandemics are sensitive to changes in contact rates
between individuals. We conducted population-based telephone surveys in four North …

Numerous models explore how a wide variety of biological and social phenomena spread in
social networks. However, these models implicitly assume that the spread of one …

Patterns of social mixing are key determinants of epidemic spread. Here we present the
results of an internet-based social contact survey completed by a cohort of participants over …

Simulation studies using susceptible-infectious-recovered models were conducted to
estimate individuals' risk of infection and time to infection in small-world and randomly …

Understanding the nature of human contact patterns is crucial for predicting the impact of
future pandemics and devising effective control measures. However, few studies provide a …

The social network paradigm provides a set of concepts and methods useful for studying the
structure of a population through which infectious agents transmitted during close personal …