Anticipated Peer Effects in COVID-19 Vaccinations

A dataset likely containing information on anticipated peer effects related to COVID-19 vaccination decisions. It was authored by Johannes Wimmer and published on the paperswithcode platform. The specific data volume, time range, and collection methodology are not detailed in the available metadata.

Use Cases

• Modeling social network influence on vaccination uptake (inferred from domain, verify after download)
• Analyzing the role of anticipated peer behavior in health decision-making (inferred from domain, verify after download)
• Training predictive models for public health campaign targeting (inferred from domain, verify after download)

Strengths

• Published on the paperswithcode platform.
• Authored by a named researcher, Johannes Wimmer.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file format, and temporal coverage are unknown, which may limit suitability assessment.

Provenance

Source

paperswithcode