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

Users' and Patients' Needs for Mental Health Services (403) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43253, first published .
Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data

Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data

Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data

Authors of this article:

Ben Rochford1 Author Orcid Image ;   Sachin Pendse1 Author Orcid Image ;   Neha Kumar1 Author Orcid Image ;   Munmun De Choudhury1 Author Orcid Image
Article Authors Cited by (6) Tweetations (19) Metrics

Ben Rochford   1 * ;   Sachin Pendse   1 * , MS ;   Neha Kumar   1 , PhD ;   Munmun De Choudhury   1 , PhD

1 School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, GA, United States

*these authors contributed equally

Corresponding Author:

  • Ben Rochford
  • School of Interactive Computing
  • College of Computing
  • Georgia Institute of Technology
  • 756 W Peachtree St NW
  • Atlanta, GA, 30308
  • United States
  • Phone: 1 404 385 8603
  • Email: brochford3@gatech.edu