Long COVID Mental Health Outcomes by Pre-existing Condition

A dataset from figshare, authored by Anh N.Q. Pham and last updated in March 2026, examines mental health outcomes in Long COVID patients. It provides prevalence rates for anxiety and depression, broken down by patients' pre-existing health conditions. The data is stored in a 5.5 KB Excel file and is licensed for reuse under CC-BY-4.0.

Use Cases

• Compare anxiety prevalence among Long COVID patients with different chronic health conditions.
• Analyze the co-occurrence of anxiety and depression in the Long COVID population.
• Investigate associations between specific pre-existing conditions and post-COVID mental health symptoms.

Strengths

• Data is openly licensed under CC-BY-4.0.
• File size is small (5.5 KB), facilitating quick download and inspection.
• Platform tags indicate a focus on specific demographic characteristics and patient-reported symptoms.

Limitations

• Row count is 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

Anh N.Q. Pham via figshare.

Collection Method

Likely contains aggregated clinical or survey data on Long COVID patients.

Time Range

Temporal coverage is not specified in the provided metadata.

Freshness

Last updated 2026-03-18 17:22:25; freshness should be verified.

Geography

Spatial coverage is not specified in the provided metadata.