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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (122) JMIR Theme Issue: COVID-19 Special Issue (2088) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (121) Design and Formative Evaluation of Mobile Apps (569) Outbreak and Pandemic Preparedness and Management (1454) Infectious Diseases (non-STD/STI) (1224) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) Surveillance Systems (359)

Published on in Vol 9 , No 7 (2021) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27768, first published .
Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey

Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey

Early Acceptability of a Mobile App for Contact Tracing During the COVID-19 Pandemic in France: National Web-Based Survey

Authors of this article:

Rajae Touzani 1, 2 Author Orcid Image ;   Emilien Schultz 1, 3 Author Orcid Image ;   Seth M Holmes 2, 4, 5, 6, 7 Author Orcid Image ;   Stéphanie Vandentorren 8 Author Orcid Image ;   Pierre Arwidson 8 Author Orcid Image ;   Francis Guillemin 9 Author Orcid Image ;   Dominique Rey 1 Author Orcid Image ;   Alexandra Rouquette 10, 11 Author Orcid Image ;   Anne-Déborah Bouhnik 1 Author Orcid Image ;   Julien Mancini 1, 12 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Galavi Z, Pourasad M, Norouzi S, Jahani Y, Khajouei R. Public Usage, Perceived Usefulness, and Satisfaction with E-health Services in COVID-19 Pandemic. Journal of Clinical Research in Paramedical Sciences 2023;11(2) View
  2. Huang Y, Obada-Obieh B, Lokam S, Beznosov K. Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  3. Schultz É, Touzani R, Mancini J, Ward J. From contact tracing to COVID-19 pass holder; the tortured journey of the French TousAntiCovid contact tracing app. Public Health 2022;206:5 View
  4. Breyton M, Schultz É, Smith A, Rouquette A, Mancini J. Information overload in the context of COVID-19 pandemic: A repeated cross-sectional study. Patient Education and Counseling 2023;110:107672 View
  5. Prakash A, Das S, Pillai K. Understanding digital contact tracing app continuance: Insights from India. Health Policy and Technology 2021;10(4):100573 View
  6. Kurtaliqi F, Zaman M, Sohier R. The psychological reassurance effect of mobile tracing apps in Covid-19 Era. Computers in Human Behavior 2022;131:107210 View
  7. Nunes N, Adamo G, Ribeiro M, R Gouveia B, Rubio Gouveia E, Teixeira P, Nisi V. Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of Technology. JMIR Human Factors 2022;9(3):e35434 View
  8. Wileden L, Anthony D, Campos-Castillo C, Morenoff J. Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study. JMIR Public Health and Surveillance 2023;9:e39002 View
  9. Dash S, Jain A, Dey L, Dasgupta T, Naskar A. Factors affecting user experience of contact tracing app during COVID-19: an aspect-based sentiment analysis of user-generated review. Behaviour & Information Technology 2023;42(2):249 View
  10. Prakash A, Das S. Explaining citizens’ resistance to use digital contact tracing apps: A mixed-methods study. International Journal of Information Management 2022;63:102468 View
  11. Touzani R, Schultz E, Vandentorren S, Arwidson P, Guillemin F, Bouhnik A, Rouquette A, Mancini J. Digital contact tracing during the COVID-19 pandemic in France: Associated factors and reasons for non-use. International Journal of Medical Informatics 2023;171:104994 View
  12. Vincent W. Developing and Evaluating a Measure of the Willingness to Use Pandemic-Related mHealth Tools Using National Probability Samples in the United States: Quantitative Psychometric Analyses and Tests of Sociodemographic Group Differences. JMIR Formative Research 2023;7:e38298 View
  13. Frimpong J, Helleringer S, Ghozy S. Strategies to increase downloads of COVID–19 exposure notification apps: A discrete choice experiment. PLOS ONE 2021;16(11):e0258945 View
  14. Ologeanu-Taddei R, Guthrie C, Wamba S. Does Age Matter?. International Journal of Technology and Human Interaction 2022;18(1):1 View