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

Formative Evaluation of Digital Health Interventions (2422) Behavioural Surveillance for Public Health (229) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (834) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (566) mHealth for Data Collection and Research (955) New Methods (946)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38774, first published .
Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial

Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial

Effect of the Data Collection Method on Mobile Phone Survey Participation in Bangladesh and Tanzania: Secondary Analyses of a Randomized Crossover Trial

Authors of this article:

George Pariyo1 Author Orcid Image ;   Ankita Meghani2 Author Orcid Image ;   Dustin Gibson2 Author Orcid Image ;   Joseph Ali2, 3 Author Orcid Image ;   Alain Labrique2 Author Orcid Image ;   Iqbal Ansary Khan4 Author Orcid Image ;   Gulam Muhammed Al Kibria2 Author Orcid Image ;   Honorati Masanja5 Author Orcid Image ;   Adnan Ali Hyder2 Author Orcid Image ;   Saifuddin Ahmed2 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Solorzano-Barrera C, Rodriguez-Patarroyo M, Tórres-Quintero A, Guzman-Tordecilla D, Franco-Rodriguez A, Maniar V, Shrestha P, Vecino-Ortiz A, Pariyo G, Gibson D, Ali J. Recruiting hard-to-reach populations via respondent driven sampling for mobile phone surveys in Colombia: a qualitative study. Global Health Action 2024;17(1) View