Replication Data for U.S. COVID-19 Vaccine Uptake Drivers

Replication data and code for the study 'Population-Level Behavioral and Structural Drivers of COVID-19 Vaccine Uptake in the US'. The dataset was authored by Ran Xu and is hosted on Harvard Dataverse. It was last updated on May 20, 2026.

Use Cases

• Replicate statistical analyses of population-level vaccine uptake based on the study's methodology.
• Model behavioral drivers of vaccination decisions based on the described structural variables.
• Conduct secondary analysis on the interplay between behavioral and structural factors influencing public health interventions.

Strengths

• Data is explicitly provided for replication of a published study, supporting research transparency.
• Last updated date is precisely recorded as 2026-05-20 01:46:57.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and data scale are unknown, which may limit suitability assessment.

Provenance

Source

Harvard Dataverse

Collection Method

Likely collected for a research study on vaccine uptake drivers.

Time Range

null

Freshness

Last updated 2026-05-20 01:46:57; freshness should be verified.

Geography

United States