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

Crowdsourcing and Mechanical Turks (81) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (516) Demographics of Users, Social & Digital Divide (490) Prevention and Health Promotion (352)

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 Sehgal 1, 2 Author Orcid Image ;   Shuo Huang 1 Author Orcid Image ;   Neil Mason Johnson 2, 3 Author Orcid Image ;   John Dickerson 2, 3 Author Orcid Image ;   Devlon Jackson 2, 4 Author Orcid Image ;   Cynthia Baur 2 Author Orcid Image
Article Authors Cited by 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, US

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

3 Department of Computer Science, University of Maryland , College Park, MD, US

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

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
  • US
  • Phone: 1 3014052469
  • Email: sehgal@umd.edu