United States survey data and code for replicating the study "Correlates of COVID-19 Vaccine Regret in the United States" by Bayer et al. The replication package was authored by Casey Klofstad and is hosted on Harvard Dataverse. It was last updated on March 25, 2026.
Use Cases
- Analyze demographic and attitudinal correlates of vaccine regret based on survey data.
- Replicate statistical models for vaccine regret outcomes using the provided code.
- Study public health communication and policy impacts on vaccination sentiment in the U.S.
Strengths
- Replication package includes both data and code, facilitating reproducibility.
- Hosted on the Harvard Dataverse platform, which suggests a level of institutional curation.
- Last updated on March 25, 2026, indicating recent maintenance.
Limitations
- Row count and dataset scale are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely contains survey data collected for the referenced study.
- Freshness
- Last updated 2026-03-25 19:56:31
- Geography
- United States