Post-COVID Neuroplasticity Indicators from Mobile App Rehabilitation

A dataset compiling evidence from 10 sources on neuroplasticity indicators during post-COVID rehabilitation using mobile applications. It was authored by Juan Moises de la Serna Tuya and last updated in March 2026.

Use Cases

• Analyze neuroplasticity indicators to assess rehabilitation progress in post-COVID patients
• Correlate mobile application usage patterns with neuroplasticity evidence from public health systems
• Model behavioral health integration metrics from the compiled evidence for post-acute care research

Strengths

• Dataset is licensed under CC BY 4.0, facilitating open reuse and sharing
• Focuses on the specific domain of post-COVID neuroplasticity and mobile health applications
• Maintained with a recent update in March 2026

Limitations

• Core quantitative details like row count, column features, and sample data are unavailable
• The description and sample data are incomplete, limiting assessment of structure and analytical utility
• Geographic and temporal coverage of the compiled evidence is unspecified

Provenance

Source

figshare

Collection Method

Compiled evidence from public health systems

Time Range

null

Freshness

Last updated 2026-03 14.

Geography

null