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

Reviews on Usage or other Formative Evaluation Metrics (44) Vaccination and Immunization in the Digital Age (378) Design and Formative Evaluation of Mobile Apps (706) Mobile Health (mhealth) (2982) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (377)

Published on in Vol 6, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36818, first published .
Separating Features From Functionality in Vaccination Apps: Computational Analysis

Separating Features From Functionality in Vaccination Apps: Computational Analysis

Separating Features From Functionality in Vaccination Apps: Computational Analysis

Authors of this article:

George Shaw Jr1 Author Orcid Image ;   Devaki Nadkarni2 Author Orcid Image ;   Eric Phann3, 4 Author Orcid Image ;   Rachel Sielaty5 Author Orcid Image ;   Madeleine Ledenyi2 Author Orcid Image ;   Razaan Abnowf6 Author Orcid Image ;   Qian Xu7 Author Orcid Image ;   Paul Arredondo8 Author Orcid Image ;   Shi Chen1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Shaw Jr G, Castro B, Gunn L, Norris K, Thorpe Jr R. The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data. JMIR mHealth and uHealth 2024;12:e46656 View