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

JHU Theme Issue (2017): Use of mobile technologies for national-scale population surveys (Guest Editors: Rosskam, Hyder) (10) Mobile Health (mhealth) (2987) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (851) mHealth for Data Collection and Research (982) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (578) Health Services in Resource-Poor Settings and LMICs (424)

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

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities

Authors of this article:

Abigail R Greenleaf1 Author Orcid Image ;   Dustin G Gibson2 Author Orcid Image ;   Christelle Khattar2 Author Orcid Image ;   Alain B Labrique2 Author Orcid Image ;   George W Pariyo2 Author Orcid Image
Article Authors Cited by (40) Tweetations (6) Metrics

Abigail R Greenleaf   1 , MPH ;   Dustin G Gibson   2 , MS, PhD ;   Christelle Khattar   2 ;   Alain B Labrique   2 , MHS, MS, PhD ;   George W Pariyo   2 , MBChB, PhD

1 Johns Hopkins Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, MD, United States

2 Johns Hopkins Bloomberg School of Public Health, Department of International Health, Baltimore, MD, United States

Corresponding Author:

  • Abigail R Greenleaf, MPH
  • Johns Hopkins Bloomberg School of Public Health
  • Department of Population, Family and Reproductive Health
  • 615 N Wolfe Street
  • Baltimore, MD, 21205
  • United States
  • Phone: 1 410-955-3543
  • Fax: 1 410-955-2303
  • Email: agreenleaf@jhu.edu