Background: Researchers increasingly use social contact data to inform models for
infectious disease spread with the aim of guiding effective policies about disease prevention …

A central tenet of close-contact or respiratory infection epidemiology is that infection patterns
within human populations are related to underlying patterns of social interaction. Until …

Variables related to socioeconomic status (SES), including income, ethnicity, and education,
shape contact structures and affect the spread of infectious diseases. However, these factors …

Face-to-face contacts between individuals contribute to shape social networks and play an
important role in determining how infectious diseases can spread within a population. It is …

Background School closure is often considered as an option to mitigate influenza epidemics
because of its potential to reduce transmission in children and then in the community. The …

Background Mathematical modelling of infectious disease is increasingly used to help guide
public health policy. As directly transmitted infections, such as influenza and tuberculosis …

Objective Establishing a social contact data sharing initiative and an interactive tool to
assess mitigation strategies for COVID-19. Results We organized data sharing of published …

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 …

A dense population, global connectivity and frequent human–animal interaction give
southern China an important role in the spread and emergence of infectious disease …

The COVID-19 pandemic caused many governments to impose policies restricting social
interactions. A controlled and persistent release of lockdown measures covers many …