EPI_SET: SARS-CoV-2 Sequences for Vaccine Effectiveness Modeling

EPI_SET contains identifiers for SARS-CoV-2 sequences used in a study linking genetic distance to vaccine effectiveness. Jiye Kwon authored the dataset, which is associated with 10,156 whole genome sequences from Connecticut, USA, collected between April 2021 and July 2024. The dataset was last updated on May 26, 2026.

Use Cases

• Modeling vaccine effectiveness based on spike gene amino acid distance.
• Predicting population-level protection against emerging variants using sequence information.
• Developing near-real-time surveillance tools leveraging genomic data.
• Training models to correlate genetic distance with time-varying vaccine protection.

Strengths

• Dataset is associated with a study analyzing 10,156 whole genome sequences.
• The underlying analysis incorporated data from over 1 million test-negative controls.
• The dataset has a specific temporal coverage from April 2021 to July 2024.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to its source, being limited to Connecticut, USA.

Provenance

Source

Jiye Kwon

Collection Method

Likely extracted from a genomic surveillance and vaccine effectiveness study.

Time Range

April 2021 to July 2024

Freshness

Last updated 2026-05-26 17:34:56; freshness should be verified.

Geography

Connecticut, USA