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

Editorial (49) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788) mHealth for Data Collection and Research (914) Protocols for Public Health Research and Surveillance (58) JHU Theme Issue (2017): Use of mobile technologies for national-scale population surveys (Guest Editors: Rosskam, Hyder) (10) Health Services in Resource-Poor Settings and LMICs (372)

Published on in Vol 19, No 5 (2017): May

Using mHealth to Predict Noncommunicable Diseases: A Public Health Opportunity for Low- and Middle-Income Countries

Using mHealth to Predict Noncommunicable Diseases: A Public Health Opportunity for Low- and Middle-Income Countries

Using mHealth to Predict Noncommunicable Diseases: A Public Health Opportunity for Low- and Middle-Income Countries

Authors of this article:

Ellen Rosskam1, 2 Author Orcid Image ;   Adnan A Hyder3, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (56) Metrics

Ellen Rosskam   1, 2 , MPH, PhD ;   Adnan A Hyder   3, 4 , MPH, MD, PhD

1 ER Global Consult, La Croix-de-Rozon, Switzerland

2 Visiting Professor, School of Health Sciences, University of Massachusetts, Lowell, MA, United States

3 Bloomberg School of Public Health, Department of International Health, Health Systems Program, Johns Hopkins University, Baltimore, MD, United States

4 Bloomberg School of Public Health, International Injury Research Unit, Johns Hopkins University, Baltimore, MD, United States

Corresponding Author:

  • Ellen Rosskam, MPH, PhD
  • ER Global Consult
  • 34D Route du Prieur, Landecy
  • La Croix-de-Rozon, 1257
  • Switzerland
  • Phone: 41 223476846
  • Fax: 41 00000000
  • Email: ellenrosskam@gmail.com