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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (613) Wearable Devices and Sensors (956) Use and User Demographics of mHealth (355) Usability of Apps and User Perceptions of mHealth (1051) Demographics of Users, Social & Digital Divide (808) Mobile Health (mhealth) (3088) Wearable Devices and Sensors (29)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50826, first published .
Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study

Perceptions of Wearable Health Tools Post the COVID-19 Emergency in Low-Income Latin Communities: Qualitative Study

Authors of this article:

Stefany Cruz1 Author Orcid Image ;   Claire Lu1 Author Orcid Image ;   Mara Ulloa2 Author Orcid Image ;   Alexander Redding3 Author Orcid Image ;   Josiah Hester4 Author Orcid Image ;   Maia Jacobs2, 5 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics Author Video

Journals

  1. Walschots Q, Zarchev M, Unkel M, Kamperman A. Using Wearable Technology to Detect, Monitor, and Predict Major Depressive Disorder—A Scoping Review and Introductory Text for Clinical Professionals. Algorithms 2024;17(9):408 View
  2. Frasier K, Hash M, Pugliese A. Wearable Sensor Technology for Hyperhidrosis Management in Individuals With Prosthetic Limbs: A Narrative Review. Cureus 2025 View
  3. Chandrasekaran R, Sadiq T M, Moustakas E. Usage Trends and Data Sharing Practices of Healthcare Wearable Devices Among US Adults: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e63879 View

Books/Policy Documents

  1. Sallam M, Mijwil M, Abotaleb M, Al Sailawi A. Optimization, Machine Learning, and Fuzzy Logic. View