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

Methods and New Tools in Mental Health Research (397) Mobile Health (mhealth) (2362) JMIR Theme Issue: COVID-19 Special Issue (2278) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (359) Outbreak and Pandemic Preparedness and Management (1557) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1404) Digital Biomarkers and Digital Phenotyping (155) Machine Learning (1190) Fitness Trackers and Smart Pedometers/Accelerometers (513) Wearable Devices and Sensors (734) mHealth for Wellness, Behavior Change and Prevention (2524) Neurology and Neurosciences (127)

Published on in Vol 9, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38495, first published .
Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping

Authors of this article:

Prerna Chikersal 1 Author Orcid Image ;   Shruthi Venkatesh 2 Author Orcid Image ;   Karman Masown 2 Author Orcid Image ;   Elizabeth Walker 2 Author Orcid Image ;   Danyal Quraishi 2 Author Orcid Image ;   Anind Dey 3 Author Orcid Image ;   Mayank Goel 1 Author Orcid Image ;   Zongqi Xia 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Prerna Chikersal   1 , MS ;   Shruthi Venkatesh   2 , BS ;   Karman Masown   2 , BS ;   Elizabeth Walker   2 , BS ;   Danyal Quraishi   2 , BS ;   Anind Dey   3 * , PhD ;   Mayank Goel   1 * , PhD ;   Zongqi Xia   2 * , MD, PhD

1 School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States

2 Department of Neurology, University of Pittsburgh, Pittsburgh, PA, United States

3 Information School, University of Washington, Seattle, Seattle, WA, United States

*these authors contributed equally

Corresponding Author:

  • Zongqi Xia, MD, PhD
  • Department of Neurology
  • University of Pittsburgh
  • 3501 Fifth Avenue,
  • BST3, Suite 7014
  • Pittsburgh, PA, 15260
  • United States
  • Phone: 1 412-383-5377
  • Email: zxia1@pitt.edu