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

mHealth for Data Collection and Research (955) Mobile Health (mhealth) (2939) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Methods and Feasibility Studies (379) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565)

Published on in Vol 2, No 1 (2014): Jan-Mar

Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study

Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study

Customized-Language Voice Survey on Mobile Devices for Text and Image Data Collection Among Ethnic Groups in Thailand: A Proof-of-Concept Study

Authors of this article:

Kasemsak Jandee1, 2 ;   Saranath Lawpoolsri1, 2 ;   Pimsurang Taechaboonsermsak3 ;   Amnat Khamsiriwatchara1 ;   Peerawat Wansatid1 ;   Jaranit Kaewkungwal1, 2
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Atkinson K, Ducharme R, Westeinde J, Wilson S, Deeks S, Pascali D, Wilson K. Vaccination attitudes and mobile readiness: A survey of expectant and new mothers. Human Vaccines & Immunotherapeutics 2015;11(4):1039 View
  2. Dway N, Soonthornworasiri N, Jandee K, Lawpoolsri S, Pan-Ngum W, Sinthuvanich D, Kaewkungwal J. Effects of edutainment on knowledge and perceptions of Lisu mothers about the immunisation of their children. Health Education Journal 2016;75(2):131 View
  3. Jandee K, Kaewkungwal J, Khamsiriwatchara A, Lawpoolsri S, Wongwit W, Wansatid P. Effectiveness of Using Mobile Phone Image Capture for Collecting Secondary Data: A Case Study on Immunization History Data Among Children in Remote Areas of Thailand. JMIR mHealth and uHealth 2015;3(3):e75 View
  4. Mercader H, Kabakyenga J, Katuruba D, Hobbs A, Brenner J. Female respondent acceptance of computer-assisted personal interviewing (CAPI) for maternal, newborn and child health coverage surveys in rural Uganda. International Journal of Medical Informatics 2017;98:41 View
  5. Stevens K, Pfeiffer D. Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problems. Spatial and Spatio-temporal Epidemiology 2015;13:15 View
  6. Toomey S, Elliott M, Zaslavsky A, Quinn J, Klein D, Wagner S, Thomson C, Wu M, Onorato S, Schuster M. Improving Response Rates and Representation of Hard-to-Reach Groups in Family Experience Surveys. Academic Pediatrics 2019;19(4):446 View
  7. Audet L, Desmarais M, Gosselin É. Handling missing data through prevention strategies in self-administered questionnaires: a discussion paper. Nurse Researcher 2022;30(3):9 View