Post-COVID-19 Symptom Characteristics in Hiroshima, Japan (2020-2024)

Hiroshima, Japan, is the geographic scope for this dataset of 2,689 individuals (1,524 adults and 1,165 children) diagnosed with COVID-19 between March 2020 and June 2024. It was created by Aya Sugiyama and contains participant characteristics and survey data on 13 post-COVID-19 symptoms. The dataset was last updated on May 8, 2026, and uses interval-censored survival analysis to estimate symptom prevalence over time.

Use Cases

• Compare long-term symptom prevalence across COVID-19 variants (Delta, Omicron-2022, Omicron-2024) based on the epidemic period data.
• Analyze differences in symptom duration and resolution between adults and children based on the age group data.
• Model factors associated with symptom resolution using proportional hazards models based on the provided hazard ratios.
• Estimate the prevalence of persistent symptoms at six months and two years post-infection based on the reported percentages.

Strengths

• Includes 2,689 individuals with a clear breakdown of 1,524 adults and 1,165 children.
• Covers a long time range from March 2020 to June 2024, spanning multiple COVID-19 variant periods.
• Tracks 13 specific symptoms and their duration via a self-administered questionnaire.
• Provides specific prevalence estimates at six months (e.g., 47% for adults during Delta) and two years.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the main data table is unknown, which may limit suitability assessment.
• Data is specific to Hiroshima, Japan, which may limit generalizability to other regions.

Provenance

Source

Aya Sugiyama via figshare.

Collection Method

Extended a previously reported retrospective cohort with follow-up and an additional survey.

Time Range

March 2020 to June 2024.

Freshness

Last updated 2026-05-08 17:50:51; freshness should be verified.

Geography

Hiroshima, Japan.