Long COVID in Idaho Veterans: Viral Variant and Sociodemographic Associations

1,120 veterans treated at the VA Medical Center in Boise, Idaho from April 2, 2020 to December 20, 2022. The dataset links sequence-defined SARS-CoV-2 variants with clinical data to investigate cardiopulmonary, neuropsychiatric, and multisystem long COVID phenotypes. Author Ian Taylor published the study on figshare under a CC-BY-4.0 license.

Use Cases

• Modeling associations between specific SARS-CoV-2 variants and long COVID phenotypes based on sequence data.
• Investigating sociodemographic predictors like rurality and social vulnerability on long COVID outcomes.
• Analyzing differences in long COVID prevalence and recovery by age and sex among veterans.

Strengths

• Dataset is based on 1,120 clinical samples with sequence-defined viral variants, not date-based approximations.
• Clinical data is annotated with CDC rurality and social vulnerability indices, linking biological and social predictors.
• Covers a three-year time range from April 2020 to December 2022, capturing multiple pandemic waves.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data is specific to veterans in Idaho, which may limit generalizability to other populations.
• The primary data file is a 698.2 KB DOCX document, which is a small and non-standard format for structured analysis.

Provenance

Source

Veterans Affairs (VA) Medical Center in Boise, Idaho and VA Corporate Data Warehouse.

Collection Method

Clinical samples were collected and sequenced, then annotated with clinical and CDC data. Phenotypes were determined by ICD-10 codes 90–270 days post-infection.

Time Range

April 2, 2020 to December 20, 2022

Freshness

Last updated 2026-04-28 05:27:23; freshness should be verified.

Geography

Idaho, United States, with a focus on rural populations.