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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (814) Mobile Health (mhealth) (2870) Theme Issue: Apps for COVID-19 (#Apps4Covid) (135) Ethics, Privacy, and Legal Issues (469) Security and Privacy of mHealth and uHealth (119) JMIR Theme Issue: COVID-19 Special Issue (2433)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57309, first published .
Contextual Acceptance of COVID-19 Mitigation Mobile Apps in the United States: Mixed Methods Survey Study on Postpandemic Data Privacy

Contextual Acceptance of COVID-19 Mitigation Mobile Apps in the United States: Mixed Methods Survey Study on Postpandemic Data Privacy

Contextual Acceptance of COVID-19 Mitigation Mobile Apps in the United States: Mixed Methods Survey Study on Postpandemic Data Privacy

Authors of this article:

Yuanyuan Feng1 Author Orcid Image ;   Brad Stenger1 Author Orcid Image ;   Shikun Zhang2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yuanyuan Feng   1 , PhD ;   Brad Stenger   1 , MS, MSJ ;   Shikun Zhang   2 , PhD

1 Department of Computer Science, University of Vermont, Burlington, VT, United States

2 School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States

Corresponding Author:

  • Yuanyuan Feng, PhD
  • Department of Computer Science
  • University of Vermont
  • 85 South Prospect Street
  • Burlington, VT, 05405
  • United States
  • Phone: 1 802 656 3475
  • Email: yuanyuan.feng@uvm.edu