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ABSTRACT: Background
Identifying sources of heterogeneity in contact patterns is key to inform disease transmission models. Recent works have investigated how individual-based socio-economic factors, besides age, affect contact behavior, but neglected the individuals' area of living. Here, we aim at estimating contact matrices stratified by both individual-based and area-based socio-economic factors.Methods
We use social contact data from Switzerland collected in 2021, combined with a neighborhood-based index of socio-economic position (SEP). Despite lacking socio-economic information on the contacts, we develop a method to reconstruct contact matrices fully stratified by age, education level, and SEP, with varying assortativity levels.Results
We find a positive association b
SUBMITTER: Di Domenico L
PROVIDER: S-EPMC12808736 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature