Social network diversity and COVID-19 infection and severity risk: a longitudinal population study
Takahiro Suzuki, Takeo Fujiwara, Takahiro Tabuchi

TL;DR
This study finds that having a more diverse social network increases the risk of getting COVID-19 but may reduce the risk of severe outcomes.
Contribution
The study is one of the first to show a U-shaped relationship between social network diversity and disease severity in a large longitudinal cohort.
Findings
Higher social network diversity was linked to increased risk of contracting COVID-19.
Moderate social network diversity was associated with lower risk of severe disease outcomes.
The relationship between social network diversity and disease severity followed a U-shaped pattern.
Abstract
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. 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 ratios (RRs) and 95% confidence intervals (CIs), adjusting for sociodemographic and clinical characteristics. Of 13,713…
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Taxonomy
TopicsCOVID-19 epidemiological studies · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19
