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Peer Review of “Viability of Mobile Forms for Population Health Surveys in Low Resource Areas (Preprint)”

Daniela Saderi, Laetitia Bert, Rakesh

JMIRx Med 2024;5:e64797

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Reconsidering the Use of Population Health Surveys for Monitoring of Mental Health

Jorge Arias de la Torre, Gemma Vilagut, Amy Ronaldson, Ioannis Bakolis, Alex Dregan, Fernando Navarro-Mateu, Katherine Pérez, Anna Szücs, Xavier Bartoll-Roca, Antonio J Molina, Matilde Elices, Víctor Pérez-Solá, Vicente Martín, Antoni Serrano-Blanco, Jose M Valderas, Jordi Alonso

JMIR Public Health Surveill 2023;9:e48138

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Health-Related Data Sources Accessible to Health Researchers From the US Government: Mapping Review

Ann Annis, Crista Reaves, Jessica Sender, Sherry Bumpus

J Med Internet Res 2023;25:e43802

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Unit Response and Costs in Web Versus Face-To-Face Data Collection: Comparison of Two Cross-sectional Health Surveys

Elise Braekman, Stefaan Demarest, Rana Charafeddine, Sabine Drieskens, Finaba Berete, Lydia Gisle, Johan Van der Heyden, Guido Van Hal

J Med Internet Res 2022;24(1):e26299

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Suicidal Thoughts and Behaviors and Their Associations With Transitional Life Events in Men and Women: Findings From an International Web-Based Sample

Alyssa Clare Clare Milton, Tracey A Davenport, Frank Iorfino, Anna Flego, Jane M Burns, Ian B Hickie

JMIR Ment Health 2020;7(9):e18383

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Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey

Lance Garrett Shaver, Ahmed Khawer, Yanqing Yi, Kris Aubrey-Bassler, Holly Etchegary, Barbara Roebothan, Shabnam Asghari, Peizhong Peter Wang

J Med Internet Res 2019;21(8):e14021

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Physicians’ Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey

Adam Palanica, Peter Flaschner, Anirudh Thommandram, Michael Li, Yan Fossat

J Med Internet Res 2019;21(4):e12887

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Physical Activity Surveillance Through Smartphone Apps and Wearable Trackers: Examining the UK Potential for Nationally Representative Sampling

Tessa Strain, Katrien Wijndaele, Søren Brage

JMIR Mhealth Uhealth 2019;7(1):e11898

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Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study

Ingrid Oakley-Girvan, Juan M Lavista, Yasamin Miller, Sharon Davis, Carlos Acle, Jeffrey Hancock, Lorene M Nelson

JMIR Form Res 2019;3(1):e10246

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Unsupervised Machine Learning to Identify High Likelihood of Dementia in Population-Based Surveys: Development and Validation Study

Laurent Cleret de Langavant, Eleonore Bayen, Kristine Yaffe

J Med Internet Res 2018;20(7):e10493

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