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

Methods and New Tools in Mental Health Research (334) Mobile Health (mhealth) (1918) JMIR Theme Issue: COVID-19 Special Issue (2087) JMH Theme Issue: COVID-19 and Mental Health: Impact and Interventions (341) Outbreak and Pandemic Preparedness and Management (1453) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) Digital Biomarkers and Digital Phenotyping (138) Machine Learning (1004) Fitness Trackers and Smart Pedometers/Accelerometers (492) Wearable Devices and Sensors (657) mHealth for Wellness, Behavior Change and Prevention (2268) Neurology and Neurosciences (111)

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 (2) Tweetations (6) 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 , US

2 Department of Neurology , University of Pittsburgh , Pittsburgh , PA , US

3 Information School , University of Washington, Seattle , Seattle , WA , US

*these authors contributed equally

Corresponding Author:

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