These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
526 related articles for article (PubMed ID: 33017171)
1. Ready or Not for Contact Tracing? Investigating the Adoption Intention of COVID-19 Contact-Tracing Technology Using an Extended Unified Theory of Acceptance and Use of Technology Model. Walrave M; Waeterloos C; Ponnet K Cyberpsychol Behav Soc Netw; 2021 Jun; 24(6):377-383. PubMed ID: 33017171 [TBL] [Abstract][Full Text] [Related]
2. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Elkhodr M; Mubin O; Iftikhar Z; Masood M; Alsinglawi B; Shahid S; Alnajjar F J Med Internet Res; 2021 Feb; 23(2):e23467. PubMed ID: 33493125 [TBL] [Abstract][Full Text] [Related]
3. Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach. Walrave M; Waeterloos C; Ponnet K JMIR Public Health Surveill; 2020 Sep; 6(3):e20572. PubMed ID: 32755882 [TBL] [Abstract][Full Text] [Related]
4. The Roles of General Health and COVID-19 Proximity in Contact Tracing App Usage: Cross-sectional Survey Study. Witteveen D; de Pedraza P JMIR Public Health Surveill; 2021 Aug; 7(8):e27892. PubMed ID: 34081602 [TBL] [Abstract][Full Text] [Related]
5. Utilizing Health Behavior Change and Technology Acceptance Models to Predict the Adoption of COVID-19 Contact Tracing Apps: Cross-sectional Survey Study. Tomczyk S; Barth S; Schmidt S; Muehlan H J Med Internet Res; 2021 May; 23(5):e25447. PubMed ID: 33882016 [TBL] [Abstract][Full Text] [Related]
6. Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Zhang Y; Liu C; Luo S; Xie Y; Liu F; Li X; Zhou Z J Med Internet Res; 2019 Aug; 21(8):e15023. PubMed ID: 31411146 [TBL] [Abstract][Full Text] [Related]
8. Reasons for Nonuse, Discontinuation of Use, and Acceptance of Additional Functionalities of a COVID-19 Contact Tracing App: Cross-sectional Survey Study. Walrave M; Waeterloos C; Ponnet K JMIR Public Health Surveill; 2022 Jan; 8(1):e22113. PubMed ID: 34794117 [TBL] [Abstract][Full Text] [Related]
9. Public attitudes towards COVID-19 contact tracing apps: A UK-based focus group study. Williams SN; Armitage CJ; Tampe T; Dienes K Health Expect; 2021 Apr; 24(2):377-385. PubMed ID: 33434404 [TBL] [Abstract][Full Text] [Related]
10. Peer-to-Peer Contact Tracing: Development of a Privacy-Preserving Smartphone App. Yasaka TM; Lehrich BM; Sahyouni R JMIR Mhealth Uhealth; 2020 Apr; 8(4):e18936. PubMed ID: 32240973 [TBL] [Abstract][Full Text] [Related]
11. COVID-19 Contact Tracing Apps: Predicted Uptake in the Netherlands Based on a Discrete Choice Experiment. Jonker M; de Bekker-Grob E; Veldwijk J; Goossens L; Bour S; Rutten-Van Mölken M JMIR Mhealth Uhealth; 2020 Oct; 8(10):e20741. PubMed ID: 32795998 [TBL] [Abstract][Full Text] [Related]
12. COVID-19 Contact-Tracing Apps: Analysis of the Readability of Privacy Policies. Zhang M; Chow A; Smith H J Med Internet Res; 2020 Dec; 22(12):e21572. PubMed ID: 33170798 [TBL] [Abstract][Full Text] [Related]
13. The Role of Transparency, Trust, and Social Influence on Uncertainty Reduction in Times of Pandemics: Empirical Study on the Adoption of COVID-19 Tracing Apps. Oldeweme A; Märtins J; Westmattelmann D; Schewe G J Med Internet Res; 2021 Feb; 23(2):e25893. PubMed ID: 33465036 [TBL] [Abstract][Full Text] [Related]
14. Adoption of Covid-19 contact tracing app by extending UTAUT theory: Perceived disease threat as moderator. Chopdar PK Health Policy Technol; 2022 Sep; 11(3):100651. PubMed ID: 35855013 [TBL] [Abstract][Full Text] [Related]
15. Privacy-Oriented Technique for COVID-19 Contact Tracing (PROTECT) Using Homomorphic Encryption: Design and Development Study. An Y; Lee S; Jung S; Park H; Song Y; Ko T J Med Internet Res; 2021 Jul; 23(7):e26371. PubMed ID: 33999829 [TBL] [Abstract][Full Text] [Related]
16. Effects of User Experience in Automated Information Processing on Perceived Usefulness of Digital Contact-Tracing Apps: Cross-Sectional Survey Study. Schrills T; Kojan L; Gruner M; Calero Valdez A; Franke T JMIR Hum Factors; 2024 Jun; 11():e53940. PubMed ID: 38916941 [TBL] [Abstract][Full Text] [Related]
17. Examining the Prediction of COVID-19 Contact-Tracing App Adoption Using an Integrated Model and Hybrid Approach Analysis. Alkhalifah A; Bukar UA Front Public Health; 2022; 10():847184. PubMed ID: 35685757 [TBL] [Abstract][Full Text] [Related]
18. Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore. Saw YE; Tan EY; Liu JS; Liu JC J Med Internet Res; 2021 Feb; 23(2):e24730. PubMed ID: 33465034 [TBL] [Abstract][Full Text] [Related]
19. Individuals' privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective. Hassandoust F; Akhlaghpour S; Johnston AC J Am Med Inform Assoc; 2021 Mar; 28(3):463-471. PubMed ID: 33164077 [TBL] [Abstract][Full Text] [Related]
20. User Experiences of the NZ COVID Tracer App in New Zealand: Thematic Analysis of Interviews. Tretiakov A; Hunter I JMIR Mhealth Uhealth; 2021 Sep; 9(9):e26318. PubMed ID: 34292868 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]