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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) Mobile Health (mhealth) (3464) Theme Issue: Apps for COVID-19 (#Apps4Covid) (140) Ethics, Privacy, and Legal Issues (617) Security and Privacy of mHealth and uHealth (158) JMIR Theme Issue: COVID-19 Special Issue (2554)

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 (3) Tweetations Metrics

Journals

  1. Elder A, Molino A, Hills R, Revere D, Baumgartner C, Karras B, Baseman J. Assessing a Digital Public Health Intervention: Survey Implementation and Analysis in Washington State Using an Address-Based Sample. ACI Open 2025;09(02):e54 View

Books/Policy Documents

  1. Tavallaei F. Digital Equity and Literacy. View

Conference Proceedings

  1. Ingber A, Haimson O, Andalibi N. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. Distinguishing Emotion AI: Factors Shaping Perceptions Including Input Data, Emotion Data Recipients, and Identity View