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

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