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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) JMIR Theme Issue: COVID-19 Special Issue (2394) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138) Design and Formative Evaluation of Mobile Apps (664) Outbreak and Pandemic Preparedness and Management (1679) Infectious Diseases (non-STD/STI) (1490) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1484) Surveillance Systems (430)

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 Touzani1, 2 Author Orcid Image ;   Emilien Schultz1, 3 Author Orcid Image ;   Seth M Holmes2, 4, 5, 6, 7 Author Orcid Image ;   Stéphanie Vandentorren8 Author Orcid Image ;   Pierre Arwidson8 Author Orcid Image ;   Francis Guillemin9 Author Orcid Image ;   Dominique Rey1 Author Orcid Image ;   Alexandra Rouquette10, 11 Author Orcid Image ;   Anne-Déborah Bouhnik1 Author Orcid Image ;   Julien Mancini1, 12 Author Orcid Image
Article Authors Cited by (20) Tweetations (3) Metrics

Journals

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  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
  15. Gagnon-Dufresne M, Gautier L, Beaujoin C, Boivin P, Coulibaly A, Richard Z, Gomes de Medeiros S, Dutra Da Nóbrega R, de Araujo Oliveira S, Cloos P, Chabrol F, Ridde V, Zinszer K. Did the design and planning of testing and contact tracing interventions for COVID-19 consider social inequalities in health? A multiple case study from Brazil, Canada, France & Mali. Social Science & Medicine 2023;335:116230 View
  16. Sun Y, Koo J, Park M, Yi H, Dickens B, Cook A. Use of Bluetooth contact tracing technology to model COVID-19 quarantine policies in high-risk closed populations. DIGITAL HEALTH 2023;9:205520762311784 View
  17. Hengst T, Lechner L, van der Laan L, Hommersom A, Dohmen D, Hooft L, Metting E, Ebbers W, Bolman C. The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis. JMIR Formative Research 2023;7:e41479 View
  18. Touzani R, Dembele E, Schultz E, Rouquette A, Seguin L, Dufour J, Bannier M, Mancini J. The French General Population’s Perception of New Information and Communication Technologies for Medical Consultations: National Survey. Journal of Medical Internet Research 2023;25:e45822 View
  19. Sujarwoto S, Maharani A. Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature. Frontiers in Public Health 2023;11 View