Epistorm-Mix: Mapping Social Contact Patterns for Respiratory Pathogen Spread in the Post-Pandemic United States
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Le résumé fourni par la source
Abstract Human contact patterns are a fundamental determinant of respiratory pathogen transmission, yet nationally representative post-pandemic data for the United States are limited. We present Epistorm-Mix, a 2024 probability-based online survey designed to be nationally representative by age, sex, race/ethnicity, household income, census region, and language. Respondents reported all person-to-person contacts from the preceding day, including the contact’s age and the setting (household, school, workplace, or community). We quantified contact numbers across demographic and social characteristics and used generalized additive models to test adjusted differences. We constructed age-stratified contact matrices and their setting-specific counterparts, benchmarking them against widely used synthetic matrices to simulate the spread of an epidemic of a respiratory pathogen. We found an average of 7.4 contacts per day, with significant heterogeneity across the population. Contact rates were highest among teenagers (15-19 years) and lowest among older adults (60+ years). In-person attendance at school or work was a major driver, resulting in 2-3 times more contacts than remote participation. We also identified key socioeconomic and demographic group heterogeneities: the number of contacts generally increased with household income, and Non-Hispanic (NH) Black and NH Asian individuals reported statistically significant fewer total contacts than NH White individuals. We found strong assortative mixing by age and demographic group with markedly distinct contact patterns across different social settings (households, schools, workplaces, and the community). While the study’s age-mixing patterns are broadly comparable to international findings, the identified demographic heterogeneities reflect social structures unique to the US, underscoring the need for country-specific data. Epistorm-Mix provides a nationally representative portrait of post-pandemic US contact patterns and serves as an open-access resource for modeling and public health planning.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Epistorm-Mix: Mapping Social Contact Patterns for Respiratory Pathogen Spread in the Post-Pandemic United States
- Date Crossref
- 21/11/2025
- Éditeur
- openRxiv
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Indiana University Bloomington pays non établi dans la noticeUniversité ou école supérieure
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Boston University Department of Global Health pays non établi dans la noticeUniversité ou école supérieure
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Infectious Disease Research Institute pays non établi dans la noticeOrganisation à but non lucratif
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University of Washington Department of Biostatistics pays non établi dans la noticeUniversité ou école supérieure
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Fred Hutch Cancer Center pays non établi dans la noticeOrganisation à but non lucratif
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Northeastern University Laboratory for the Modeling of Biological and Socio-technical Systems pays non établi dans la noticeUniversité ou école supérieure
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Indiana University School of Public Health Department of Epidemiology and Biostatistics pays non établi dans la noticeUniversité ou école supérieure
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Vaccine and Infectious Disease Division pays non établi dans la noticeInstitution
Indiana University Bloomington, Department of Global Health — Boston University et Infectious Disease Research Institute, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.