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) (2939) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) mHealth for Data Collection and Research (955) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Health Services in Resource-Poor Settings and LMICs (414)

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 (39) Tweetations (6) Metrics

Journals

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  6. Pariyo G, Greenleaf A, Gibson D, Ali J, Selig H, Labrique A, Al Kibria G, Khan I, Masanja H, Flora M, Ahmed S, Hyder A, Maulik P. Does mobile phone survey method matter? Reliability of computer-assisted telephone interviews and interactive voice response non-communicable diseases risk factor surveys in low and middle income countries. PLOS ONE 2019;14(4):e0214450 View
  7. Greenleaf A, Gadiaga A, Guiella G, Turke S, Battle N, Ahmed S, Moreau C, Ngure K. Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso. PLOS ONE 2020;15(5):e0231819 View
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  9. Greenleaf A, Gadiaga A, Choi Y, Guiella G, Turke S, Battle N, Ahmed S, Moreau C. Automated and Interviewer-Administered Mobile Phone Surveys in Burkina Faso: Sociodemographic Differences Among Female Mobile Phone Survey Respondents and Nonrespondents. JMIR mHealth and uHealth 2020;8(7):e17891 View
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  21. Gibson D, Wosu A, Pariyo G, Ahmed S, Ali J, Labrique A, Khan I, Rutebemberwa E, Flora M, Hyder A. Effect of airtime incentives on response and cooperation rates in non-communicable disease interactive voice response surveys: randomised controlled trials in Bangladesh and Uganda. BMJ Global Health 2019;4(5):e001604 View
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