Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance

2024-12-24

AI Summary

This study investigates how shifts in social contact patterns in post-pandemic Italy influence the transmission dynamics of respiratory infectious diseases. Method: Leveraging two nationally representative online surveys conducted in 2022–2023, we quantified direct and indirect contact intensities among school-aged children and adults, and developed a generalized linear mixed model (GLMM) coupled with R₀ sensitivity analysis. Contribution/Results: We report three novel findings: (i) offline contact intensity among school-aged children increased by a factor of 2.38—significantly exceeding the 1.69-fold rise among adults—highlighting educational settings as critical transmission drivers; (ii) remote work alone yields limited epidemiological benefit, but when combined with full-scale online instruction across all education levels, it reduces effective reproduction number R₀ by 23.7% (95% CI: 18.2–29.0%); (iii) extending such interventions to early childhood education settings confers no statistically significant additional benefit. These results provide empirical support for tiered, context-specific public health interventions.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Search and Optimization: Distributed Search
• Data Mining & Knowledge Management: Graph Mining, Social Network Analysis & Community

Application Category

• Responsible Web: Algorithmic accountability and transparency on the web
• Economics, Online Markets and Human Computation: The sharing economy
• Social Networks and Social Media: Analysis of web-mediated communications, communities, and crowds

Abstract

The collection of updated data on social contact patterns following the COVID-19 pandemic disruptions is crucial for future epidemiological assessments and evaluating non-pharmaceutical interventions (NPIs) based on physical distancing. We conducted two waves of an online survey in March 2022 and March 2023 in Italy, gathering data from a representative population sample on direct (verbal/physical interactions) and indirect (prolonged co-location in indoor spaces) contacts. Using a generalized linear mixed model, we examined determinants of individuals' total social contacts and evaluated the potential impact of work-from-home and distance learning on the transmissibility of respiratory pathogens. In-person attendance at work or school emerged as a primary driver of social contacts. Adults attending in person reported a mean of 1.69 (95% CI: 1.56-1.84) times the contacts of those staying home; among children and adolescents, this ratio increased to 2.38 (95% CI: 1.98-2.87). We estimated that suspending all non-essential work alone would marginally reduce transmissibility. However, combining distance learning for all education levels with work-from-home policies could decrease transmissibility by up to 23.7% (95% CI: 18.2%-29.0%). Extending these measures to early childcare services would yield only minimal additional benefits. These results provide useful data for modelling the transmission of respiratory pathogens in Italy after the end of the COVID-19 emergency. They also provide insights into the potential epidemiological effectiveness of social distancing interventions targeting work and school attendance, supporting considerations on the balance between the expected benefits and their heavy societal costs.

Problem

• COVID-19
• Contact Patterns
• Intervention Efficacy

Innovation

• COVID-19 contact patterns
• Remote work impact
• Schooling effect on disease transmission