Evidence map›Paper›PMID 42748664›Full record

ArticleSocial science & medicine (1982)2026

Social network exposures, political party affiliation, and perceived health risk.

Caroline M Barry, Weihua An

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Caroline M BarryRollins School of Public Health, Emory University, United States.
Weihua AnDepartment of Sociology and Department of Data and Decision Sciences, Emory University, United States. Electronic address: weihua.an@emory.edu.

Funding

Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
Training in Advanced Data Analytics to End Drug-Related Harms (TADA)T32DA050552 · NIDA · EMORY UNIVERSITY · PI Howard H Chang, Hannah LF Cooper · 2020 to 2026
$1.6M
NIDA NIH HHS T32 DA037202NIDA NIH HHS T32 DA050552
6 · The paper itself

Abstract

Why do people perceive risk differently during the same public health crisis? Using longitudinal, nationally representative panel data from the Understanding America Study spanning two years of the COVID-19 pandemic in the United States (March 2020--February 2022), we show risk perception can be a result of both social experience and social construction. Specifically, we examine how risk exposure within close social networks and political party affiliation jointly shape perceived risks of infection, hospitalization, and death. Results indicate that each additional social network member's infection, hospitalization, or death predicts higher perceived risk of the corresponding outcome (all p ≤ .01). Republicans report lower perceived risks than Democrats on average, but the association between social network infections and perceived infection risk is steeper among Republicans (p < .05), which suggests that risk exposure and political identity also interact in creating risk perception. Party-stratified models corroborate that within-person increases in network exposures are followed by higher perceived risks. Phase-specific analyses reveal shifting salience of network experiences and partisan identity across the pandemic. Risk exposure in social networks and political identity (partisanship) appear to operate jointly in shaping health risk perceptions, highlighting the need for tailored risk communication strategies to support effective preparedness for future pandemics.

Indexed as

COVID-19PerceptionPoliticsSocial NetworkingAdultFemaleHumansLongitudinal StudiesMaleMiddle AgedPandemicsRisk AssessmentSARS-CoV-2Social GroupSocial SupportUnited StatesPandemic preparednessPerceived riskPolitical identitySocial networks

Identifiers

PMID42748664
PMCPMC13637841

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.