Social network diversity and COVID-19 infection and severity risk: a longitudinal population study.

ABSTRACT:

Background

Clinical evidence on how social network diversity (SND) influences the risk of infection and disease severity during the coronavirus disease 2019 (COVID-19) pandemic remains limited. We aim to investigate the associations between SND and the risk of COVID-19 infection and disease severity using a large-scale longitudinal cohort study.

Methods

We analyzed data from participants in a longitudinal study, the Japan COVID-19 and Society Internet Survey (JACSIS) between 2020 and 2023. The SND score was calculated as the sum of seven distinct types of social networks. COVID-19 infection was assessed as ever infection, and severity was defined as oxygen-requiring admission, using a self-reported questionnaire. Poisson regression with robust standard errors estimated risk

SUBMITTER: Suzuki T 

PROVIDER: S-EPMC12834764 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature