Published on in Vol 8, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30833, first published .
Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Jihan Ryu   1 , MD ;   Emese Sükei   2 , MSc ;   Agnes Norbury   1 , PhD ;   Shelley H Liu   1 , PhD ;   Juan José Campaña-Montes   3 , MSc ;   Enrique Baca-Garcia   3, 4 , MD, PhD ;   Antonio Artés   2, 3, 5 , PhD ;   M Mercedes Perez-Rodriguez   1 , MD, PhD

1 Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States

2 Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Madrid, Spain

3 Evidence Based Behavior, Madrid, Spain

4 Department of Psychiatry, University Hospital Jimenez Diaz Foundation, Madrid, Spain

5 Gregorio Marañón Health Research Institute, Madrid, Spain

Corresponding Author:

  • M Mercedes Perez-Rodriguez, MD, PhD
  • Department of Psychiatry
  • Icahn School of Medicine at Mount Sinai
  • Icahn (East) Bldg, 4th Fl., L4-53
  • 1425 Madison Ave
  • New York, NY, 10029
  • United States
  • Phone: 1 241-9775
  • Email: mercedes.perez@mssm.edu