Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34176, first published .
The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach

The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach

The Accessibility of YouTube Fitness Videos for Individuals Who Are Disabled Before and During the COVID-19 Pandemic: Preliminary Application of a Text Analytics Approach

Shevali Kadakia   1 * ;   Catherine Stratton   2 * , BA, MPH ;   Yinfei Wu   3 , BA ;   Josemari Feliciano   3 , BSc, MPH ;   Yetsa A Tuakli-Wosornu   2, 4 , MPH, MD

1 Department of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, United States

2 Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, United States

3 Department of Biostatistics, Yale School of Public Health, New Haven, CT, United States

4 Department of Physical Medicine and Rehabilitation, University of Pittsburgh Medical Center, Pittsburgh, PA, United States

*these authors contributed equally

Corresponding Author:

  • Yetsa A Tuakli-Wosornu, MPH, MD
  • Department of Physical Medicine and Rehabilitation
  • University of Pittsburgh Medical Center
  • 3471 Fifth Ave
  • Pittsburgh, PA, 15213
  • United States
  • Phone: 1 4436104322
  • Email: yetsa.tuakli-wosornu@yale.edu