Spearman Correlations for COVID Symptom Count and Patient Outcome Changes

Spearman Correlations Between Number of Symptoms and Patient-Reported Outcome Measures Change from Pre-COVID. The dataset contains correlation coefficients calculated by Xiaowu Sun, last updated in March 2026. It is a small, 5.5 KB Excel file licensed for open use under CC BY 4.0.

Use Cases

• Analyze the strength of association between the number of symptoms and changes in patient-reported outcome measures using Spearman correlation coefficients.
• Investigate the relationship between symptom count and specific health metric changes documented in the patient-reported outcome measures.
• Validate correlation findings from this tabular data against other COVID-19 symptom severity studies.

Strengths

• Provides specific statistical measures (Spearman correlations) for analyzing symptom and outcome relationships.
• Openly licensed under CC BY 4.0, facilitating reuse and sharing.
• Data is recent, with a last update timestamp of March 2026.

Limitations

• Very small scale at 5.5 KB, indicating extremely limited data volume.
• Unknown row and column counts prevent assessment of dataset scope and feature richness.
• Lack of sample data or column descriptions limits understanding of the specific variables and metrics analyzed.

Provenance

Source

figshare, authored by Xiaowu Sun.

Collection Method

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Time Range

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Freshness

Last updated 2026-03-25.

Geography

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