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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (523) Mobile Health (mhealth) (2777) Evaluation and Research Methodology for mHealth (195) mHealth for Data Collection and Research (917) mHealth for Health Administration (137)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18413, first published .
Evaluating Network Readiness for mHealth Interventions Using the Beacon Mobile Phone App: Application Development and Validation Study

Evaluating Network Readiness for mHealth Interventions Using the Beacon Mobile Phone App: Application Development and Validation Study

Evaluating Network Readiness for mHealth Interventions Using the Beacon Mobile Phone App: Application Development and Validation Study

Authors of this article:

Thomas Foster Scherr1 Author Orcid Image ;   Carson Paige Moore1 Author Orcid Image ;   Philip Thuma2 Author Orcid Image ;   David Wilson Wright1 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Journals

  1. Scherr T, Hardcastle A, Moore C, DeSousa J, Wright D. Understanding On-Campus Interactions With a Semiautomated, Barcode-Based Platform to Augment COVID-19 Contact Tracing: App Development and Usage. JMIR mHealth and uHealth 2021;9(3):e24275 View
  2. Moore C, Scherr T, Matoba J, Sing’anga C, Lubinda M, Thuma P, Wright D. mHAT app for automated malaria rapid test result analysis and aggregation: a pilot study. Malaria Journal 2021;20(1) View
  3. Guo X, Khalid M, Domingos I, Michala A, Adriko M, Rowel C, Ajambo D, Garrett A, Kar S, Yan X, Reboud J, Tukahebwa E, Cooper J. Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security. Nature Electronics 2021;4(8):615 View
  4. Jansen-Kosterink S, Broekhuis M, van Velsen L. Time to act mature—Gearing eHealth evaluations towards technology readiness levels. DIGITAL HEALTH 2022;8:205520762211133 View
  5. Mustapha B, Utulu S, Tyndall J. A smartphone‐based surveillance system for acute flaccid paralysis: A technology frames perspective. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2024;90(1) View
  6. Chidambaranathan S, Geetha R. Deep learning enabled blockchain based electronic heathcare data attack detection for smart health systems. Measurement: Sensors 2024;31:100959 View