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

Usability of Apps and User Perceptions of mHealth (1095) Security and Privacy of mHealth and uHealth (144) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (153) Theme Issue: Apps for COVID-19 (#Apps4Covid) (139) Ethics, Privacy, and Legal Issues (556)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48700, first published .
Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy

Authors of this article:

Grace Fox1 Author Orcid Image ;   Lisa van der Werff1 Author Orcid Image ;   Pierangelo Rosati2 Author Orcid Image ;   Theo Lynn1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Fox G, Lynn T, van der Werff L, Kennedy J. Does telemedicine hold the key for reproductive health care? A quantitative examination of women's intentions toward use and accurate information disclosure. Health Services Research 2025;60(3) View
  2. Yin J, Qiu X, Wang Y. The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce. Journal of Theoretical and Applied Electronic Commerce Research 2025;20(1):21 View

Conference Proceedings

  1. Williams A, Fox G, Amon M, Tanni T, Solihin Y. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. The GenAI networked privacy problem at work- How privacy knowledge and perceptions predict Generative AI disclosure in professional contexts View