Background School aged children are a key link in the transmission of influenza. Most cases
have little or no interaction with health services and are therefore missed by the majority of …

Social interactions shape the patterns of spreading processes in a population. Techniques
such as diaries or proximity sensors allow to collect data about encounters and to build …

Comparisons of the utility and accuracy of methods for measuring social interactions
relevant to disease transmission are rare. To increase the evidence base supporting specific …

Self-reported social mixing patterns are commonly used in mathematical models of
infectious diseases. It is particularly important to quantify patterns for school-age children …

The promotion of dietary health is a public health priority in England and in other countries.
Research shows that the majority of children do not consume the recommended amount of …

Personal contacts drive COVID-19 infections. After being closed (23 March 2020) UK
primary schools partially re-opened on 1 June 2020 with social distancing and new risk …

Many datasets describing contacts in a population suffer from incompleteness due to
population sampling and underreporting of contacts. Data-driven simulations of spreading …

Abstract Models of epidemics in complex networks are improving our predictive
understanding of infectious disease outbreaks. Nonetheless, applying network theory to …

Face-to-face interactions of humans play a crucial role in their social relationships as well as
in the potential transmission of infectious diseases. Here we discuss recent research efforts …

School children are core groups in the transmission of many common infectious diseases,
and are likely to play a key role in the spatial dispersal of disease across multiple scales …