ArticleRisk management and insurance review2022
Impact of cultural tightness on vaccination rate.
Article in Risk management and insurance review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Factors associated with influenza vaccine uptake and intention among public transportation drivers: A cross-sectional study from Lebanon.Human vaccines & immunotherapeutics · 2026Article
- Explaining vaccine hesitancy: A COVID-19 study of the United States.Managerial and decision economics : MDE · 2022Article
- Impact of cultural tightness on vaccination rate.Risk management and insurance review · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We find that cultural tightness, that is, the level of social punishment for violating norms, is associated with lower vaccination rates against COVID-19 across both states and counties in the United States. This is consistent with individuals in tighter cultures being more likely to base risk management decisions on social norms rather than on advice from experts and leaders. It is also consistent with our documentation of a social norm against COVID-19 vaccination. This implies that when a society depends on individual action to help manage society-wide risks, social norms can influence the degree to which individuals in tighter societies will engage in actions that minimize the overall risk to the society.
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Registered trials
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.