Contact matrices are used to describe social mixing patterns and inform mathematical models of disease transmission. Here, the authors evaluate the accuracy of synthetic contact matrices generated usi...

Di Domenico et al. develop a method to reconstruct contact matrices fully stratified by age, education level and socioeconomic position. Results show that accounting for contact assortativity with soc...

MOnitoring Outbreaks for Disease surveillance in a data science context Innovative and collaborative tools and services for early detection, assessment, and monitoring of current and potential infecti...

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Non-pharmaceutical interventions during the COVID-19 pandemic significantly disrupted social mixing patterns, creating a need for updated mathematical models to guide an effective response. Accurately...