COVID-19 Impact on Pulmonary Exercise Testing Rates via Interrupted Time Series

Results of interrupted time series analyses examining the impact of the COVID-19 pandemic on the rate of persons undergoing pulmonary exercise testing. The dataset was authored by Javier Silva-Valencia and last updated on May 26, 2026. It is a 9.5 KB Excel file.

Use Cases

• Model pandemic-related disruptions to healthcare services based on the interrupted time series analysis.
• Analyze changes in diagnostic testing rates based on the pandemic impact described.
• Evaluate public health policy effectiveness based on the analysis of pulmonary exercise testing trends.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 9.5 KB, indicating a compact and focused dataset.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is very brief, lacking details on methodology or specific results.

Provenance

Source

figshare

Collection Method

Results of interrupted time series analyses.

Freshness

Last updated 2026-05-26 17:32:39; freshness should be verified.