Post-COVID-19 Symptom Prevalence with Confidence Intervals by Epidemic Period

Estimated prevalence of post-COVID-19 symptoms with 95% confidence intervals at selected time points, by epidemic periods. The dataset is a 13.8 KB XLSX file authored by Aya Sugiyama and last updated on 2026-05-08. It is licensed under CC-BY-4.0 and hosted on figshare.

Use Cases

• Modeling the temporal evolution of post-COVID-19 conditions based on prevalence estimates.
• Comparing symptom burden across different epidemic periods based on the described stratification.
• Assessing uncertainty in long COVID estimates based on the provided 95% confidence intervals.

Strengths

• Includes 95% confidence intervals for prevalence estimates, providing uncertainty quantification.
• Stratifies data by epidemic periods, allowing for temporal analysis.
• Released under a permissive CC-BY-4.0 license for broad reuse.

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

figshare

Freshness

Last updated 2026-05-08 17:50:45; freshness should be verified.