Japanese COVID-19 patient data details baseline characteristics for hospitalized individuals, categorized by their use of mechanical ventilation or ECMO. The dataset is a small Excel file of 9.5 KB, created by author Jun Kawabata and last updated in March 2026.
Use Cases
- Compare patient characteristics between MV and ECMO cohorts to identify risk factors for severe respiratory support.
- Analyze the distribution of baseline characteristics like age or comorbidities within the hospitalized COVID-19 population.
- Use the tabular benchmark data for validating models predicting the need for mechanical ventilation or ECMO.
Strengths
- Data is explicitly focused on a key clinical distinction: patient characteristics segmented by MV/ECMO use.
- Dataset is openly licensed under CC BY 4.0, permitting reuse and modification.
- File is provided in the widely compatible XLS format for spreadsheet analysis.
Limitations
- The dataset is very small at 9.5 KB, indicating limited scope and a likely small number of patient records.
- Specific column names, row counts, and detailed variable definitions are not provided in the input.
- Geographic origin and time range of the patient data collection are unspecified.
Provenance
- Source
- figshare
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null