Published on in Vol 8, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19857, first published .
Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study

Journals

  1. Kawakami N, Sasaki N, Kuroda R, Tsuno K, Imamura K. The Effects of Downloading a Government-Issued COVID-19 Contact Tracing App on Psychological Distress During the Pandemic Among Employed Adults: Prospective Study. JMIR Mental Health 2021;8(1):e23699 View
  2. von Wyl V, Höglinger M, Sieber C, Kaufmann M, Moser A, Serra-Burriel M, Ballouz T, Menges D, Frei A, Puhan M. Drivers of Acceptance of COVID-19 Proximity Tracing Apps in Switzerland: Panel Survey Analysis. JMIR Public Health and Surveillance 2021;7(1):e25701 View
  3. Camacho-Rivera M, Islam J, Rivera A, Vidot D. Attitudes Toward Using COVID-19 mHealth Tools Among Adults With Chronic Health Conditions: Secondary Data Analysis of the COVID-19 Impact Survey. JMIR mHealth and uHealth 2020;8(12):e24693 View
  4. Esposito D, Dipierro G, Sonnessa A, Santoro S, Pascazio S, Pluchinotta I. Data-Driven Epidemic Intelligence Strategies Based on Digital Proximity Tracing Technologies in the Fight against COVID-19 in Cities. Sustainability 2021;13(2):644 View
  5. Zimmermann B, Fiske A, Prainsack B, Hangel N, McLennan S, Buyx A. Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study. Journal of Medical Internet Research 2021;23(2):e25525 View
  6. Munzert S, Selb P, Gohdes A, Stoetzer L, Lowe W. Tracking and promoting the usage of a COVID-19 contact tracing app. Nature Human Behaviour 2021;5(2):247 View
  7. Velicia-Martin F, Cabrera-Sanchez J, Gil-Cordero E, Palos-Sanchez P. Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model. PeerJ Computer Science 2021;7:e316 View
  8. Toussaert S. Upping uptake of COVID contact tracing apps. Nature Human Behaviour 2021;5(2):183 View
  9. Nakamoto I, Jiang M, Zhang J, Zhuang W, Guo Y, Jin M, Huang Y, Tang K. Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan. JMIR mHealth and uHealth 2020;8(12):e22098 View
  10. Maytin L, Maytin J, Agarwal P, Krenitsky A, Krenitsky J, Epstein R. Attitudes and Perceptions Toward COVID-19 Digital Surveillance: Survey of Young Adults in the United States. JMIR Formative Research 2021;5(1):e23000 View
  11. Elkhodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research 2021;23(2):e23467 View
  12. Mbwogge M. Mass Testing With Contact Tracing Compared to Test and Trace for the Effective Suppression of COVID-19 in the United Kingdom: Systematic Review. JMIRx Med 2021;2(2):e27254 View
  13. Oldeweme A, Märtins J, Westmattelmann D, Schewe G. 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. Journal of Medical Internet Research 2021;23(2):e25893 View
  14. Krauth C, Oedingen C, Bartling T, Dreier M, Spura A, de Bock F, von Rüden U, Betsch C, Korn L, Robra B. Public Preferences for Exit Strategies From COVID-19 Lockdown in Germany—A Discrete Choice Experiment. International Journal of Public Health 2021;66 View
  15. Blom A, Wenz A, Cornesse C, Rettig T, Fikel M, Friedel S, Möhring K, Naumann E, Reifenscheid M, Krieger U. Barriers to the Large-Scale Adoption of a COVID-19 Contact Tracing App in Germany: Survey Study. Journal of Medical Internet Research 2021;23(3):e23362 View
  16. Weiß J, Esdar M, Hübner U. Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27232 View
  17. Lockey S, Edwards M, Hornsey M, Gillespie N, Akhlaghpour S, Colville S. Profiling adopters (and non-adopters) of a contact tracing mobile application: Insights from Australia. International Journal of Medical Informatics 2021;149:104414 View
  18. Dawe V, Hardie J. The Rise of the Big Data Doctor: Recent Advances and Warnings in Digital Public Health Technology. Electronic Journal of General Medicine 2021;18(3):em284 View
  19. Saw Y, Tan E, Liu J, Liu J. Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore. Journal of Medical Internet Research 2021;23(2):e24730 View
  20. Georgieva I, Lantta T, Lickiewicz J, Pekara J, Wikman S, Loseviča M, Raveesh B, Mihai A, Lepping P. Perceived Effectiveness, Restrictiveness, and Compliance with Containment Measures against the Covid-19 Pandemic: An International Comparative Study in 11 Countries. International Journal of Environmental Research and Public Health 2021;18(7):3806 View
  21. Montagni I, Roussel N, Thiébaut R, Tzourio C. Health Care Students’ Knowledge of and Attitudes, Beliefs, and Practices Toward the French COVID-19 App: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2021;23(3):e26399 View
  22. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  23. Mohr S, Cloos J. Acceptance of Data Sharing in Smartphone Apps from Key Industries of the Digital Transformation: A Representative Population Survey for Germany. SSRN Electronic Journal 2021 View
  24. Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and adoption of COVID-19 tracing apps, with recommendations for development: A systematic, interdisciplinary review of European national apps (Preprint). Journal of Medical Internet Research 2021 View

Books/Policy Documents

  1. van ’t Klooster J, Slijkhuis P, van Gend J, Bente B, van Gemert-Pijnen L. Intelligent Human Computer Interaction. View