Post-COVID-19 Symptom Resolution Intervals for Turnbull Survival Analysis

13.9 KB of data on the distribution of intervals for symptom resolution among participants with post-COVID-19 symptoms. The dataset, created by Aya Sugiyama, is formatted as an XLSX file and was last updated on May 8, 2026. It was specifically prepared for use in Turnbull interval-censored survival analysis.

Use Cases

• Modeling time-to-event for symptom resolution based on interval-censored data mentioned in the description
• Applying Turnbull's nonparametric estimator for survival analysis with interval-censored observations
• Studying the duration and recovery patterns of post-COVID-19 symptoms
• Benchmarking or validating other survival analysis methods against interval-censored data

Strengths

• Data is explicitly formatted for a specific, advanced statistical method (Turnbull interval-censored survival analysis)
• Released under a permissive CC-BY-4.0 license for reuse
• File size of 13.9 KB indicates a focused, manageable dataset for analysis

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

Aya Sugiyama via figshare

Collection Method

Likely collected from participants with post-COVID-19 symptoms, though specific methodology is not detailed.

Time Range

The temporal coverage of the underlying data collection is not specified.

Freshness

Last updated 2026-05-08 17:50:44; freshness should be verified

Geography

The geographic coverage of the participant pool is not specified.