COVID-19 Patient Sociodemographic and Clinical Variables from 2020

Brazilian data from March to December 2020 describes sociodemographic and clinical variables for patients with COVID-19. The dataset is a 9.5 KB XLS file. It was created by Natalia L. Freitas and is licensed under CC BY 4.0.

Use Cases

• Analyze the relationship between sociodemographic variables and patient outcomes like intensive care unit admission.
• Assess clinical variables for risk stratification, potentially using metrics like the Tisdale Score mentioned in the tags.
• Study patient survival rates across different sociodemographic and clinical profiles during the 2020 pandemic period.

Strengths

• Data covers a defined 10-month period (March to December 2020) during the COVID-19 pandemic.
• The dataset is shared under a permissive CC BY 4.0 license, facilitating reuse.
• Tags indicate inclusion of specific clinical assessment tools like the Tisdale Score.

Limitations

• The dataset is very small at 9.5 KB, indicating limited scope and likely a small number of records.
• No column names or sample data are provided, making initial assessment of structure and variables difficult.
• The geographic scope is implied by tags (e.g., 'Bras 237') but not explicitly stated, potentially limiting generalizability.

Provenance

Source

Natalia L. Freitas via figshare

Collection Method

null

Time Range

March to December 2020

Freshness

null

Geography

Brazil (inferred from tags 'Bras 237' and 'Reference Hospital')