This paper is in the following e-collection/theme issue:

JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (374) JMIR Theme Issue: COVID-19 Special Issue (2390) Anxiety and Stress Disorders (1005) Ecological Momentary Assessment (EMA) (294) Outbreak and Pandemic Preparedness and Management (1674) Infectious Diseases (non-STD/STI) (1484) e-Mental Health and Cyberpsychology (1399) Mass Media/Social Media Communication and Campaigns (448) Machine Learning (1383) mHealth for Data Collection and Research (912)

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

Authors of this article:

Jihan Ryu1 Author Orcid Image ;   Emese Sükei2 Author Orcid Image ;   Agnes Norbury1 Author Orcid Image ;   Shelley H Liu1 Author Orcid Image ;   Juan José Campaña-Montes3 Author Orcid Image ;   Enrique Baca-Garcia3, 4 Author Orcid Image ;   Antonio Artés2, 3, 5 Author Orcid Image ;   M Mercedes Perez-Rodriguez1 Author Orcid Image
Article Authors Cited by (6) Tweetations (8) Metrics

Journals

  1. Sutherland Charvis J, Schulz C, Drohan M, Rafiee P, Stamates A, Yang M. A daily examination of perceived stress and coping strategies used among college students during COVID-19. Journal of American College Health 2023:1 View
  2. Rosen A, Holmes A, Balluerka N, Hidalgo M, Gorostiaga A, Gómez-Benito J, Huedo-Medina T. Is Social Media a New Type of Social Support? Social Media Use in Spain during the COVID-19 Pandemic: A Mixed Methods Study. International Journal of Environmental Research and Public Health 2022;19(7):3952 View
  3. Rezapour M, Elmshaeuser S, Vellido A. Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health. PLOS ONE 2022;17(11):e0276767 View
  4. Mulinari S. Short-circuiting biology: Digital phenotypes, digital biomarkers, and shifting gazes in psychiatry. Big Data & Society 2023;10(1):205395172211456 View
  5. Chemnad K, Alshakhsi S, Almourad M, Altuwairiqi M, Phalp K, Ali R. Smartphone Usage before and during COVID-19: A Comparative Study Based on Objective Recording of Usage Data. Informatics 2022;9(4):98 View
  6. Liu H, Tao T, Chan S, Ma J, Lau A, Yeung E, Hobfoll S, Hou W. Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries. BMC Medicine 2024;22(1) View