COVID Recovery Follow Up Records
Category: Health License: llama3.2 Downloads: 181 Rows: 2272 CSV
Dataset card Data preview Source License Citation

Dataset Card

Dataset Description

COVID Recovery Follow Up Records contains structured health-related records designed for research, analytics, dashboard development, and machine learning experiments. The dataset includes realistic patient, clinical, administrative, and observational variables with category-specific value distributions and no repeated column pattern.

Dataset Summary

This dataset provides structured CSV data for analysis, reporting, research, dashboards and machine learning workflows.

Dataset Structure

The file is available in CSV format and can be used with Python, R, Excel, Google Sheets, Power BI or other data analysis tools.

Data Preview

record_id region age_group service_type clinical_score risk_level outcome_status reporting_month
1 London 45-59 Treatment 17.75 Low Discharged 2022-05
2 London 45-59 Treatment 3.24 Critical Recovered 2021-07
3 Glasgow 75+ Follow-up 61.11 High Discharged 2022-10
4 Glasgow 60-74 Screening 92.38 Medium Referred 2020-05
5 Birmingham 18-29 Consultation 81.31 High Discharged 2022-04
6 London 60-74 Consultation 68.3 Critical Referred 2022-04
7 Cardiff 18-29 Screening 81.2 Low Referred 2023-12
8 Glasgow 45-59 Treatment 65.79 Medium Discharged 2020-04
9 Manchester 45-59 Follow-up 47.26 Medium Recovered 2020-04
10 Leeds 45-59 Treatment 87.85 Critical Discharged 2023-06

License

llama3.2

Citation

COVID Recovery Follow Up Records. Health Research Data Repository, Version 3.6, 2022.