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

Crowdsourcing and Mechanical Turks (99) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847) Demographics of Users, Social & Digital Divide (760) Prevention and Health Promotion (1015)

Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30216, first published .
The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study

The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study

The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study

Authors of this article:

Neil Jay Sehgal1, 2 Author Orcid Image ;   Shuo Huang1 Author Orcid Image ;   Neil Mason Johnson2, 3 Author Orcid Image ;   John Dickerson2, 3 Author Orcid Image ;   Devlon Jackson2, 4 Author Orcid Image ;   Cynthia Baur2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Neil Jay Sehgal   1, 2 , MPH, PhD ;   Shuo Huang   1 , MPH ;   Neil Mason Johnson   2, 3 , BS ;   John Dickerson   2, 3 , MSc, PhD ;   Devlon Jackson   2, 4 , MPH, PhD ;   Cynthia Baur   2 , MA, PhD

1 Department of Health Policy and Management, School of Public Health, University of Maryland, College Park, MD, United States

2 Horowitz Center for Health Literacy, School of Public Health, University of Maryland, College Park, MD, United States

3 Department of Computer Science, University of Maryland, College Park, MD, United States

4 Department of Behavioral and Community Health, School of Public Health, University of Maryland, College Park, MD, United States

Corresponding Author:

  • Neil Jay Sehgal, MPH, PhD
  • Department of Health Policy and Management
  • School of Public Health
  • University of Maryland
  • 4200 Valley Drive
  • College Park, MD, 20742
  • United States
  • Phone: 1 3014052469
  • Email: sehgal@umd.edu