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

JMIR Theme Issue: COVID-19 Special Issue (2566) Surveillance Systems (522) Infectious Diseases (non-STD/STI) (1762) Innovative Methods in Public Health and Surveillance (405) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1546) Theme Issue: Apps for COVID-19 (#Apps4Covid) (141) Outbreak and Pandemic Preparedness and Management (1849) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (163)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29268, first published .
Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study

Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study

Self-Focused and Other-Focused Health Concerns as Predictors of the Uptake of Corona Contact Tracing Apps: Empirical Study

Authors of this article:

Fenne große Deters1, 2 Author Orcid Image ;   Tabea Meier3 Author Orcid Image ;   Anne Milek4 Author Orcid Image ;   Andrea B Horn3, 5 Author Orcid Image
Article Authors Cited by (7) Tweetations (6) Metrics

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  2. Scholz U, Mundry R, Freund A. Predicting the use of a COVID‐19 contact tracing application: A study across two points of measurements. Applied Psychology: Health and Well-Being 2023;15(4):1673 View
  3. Alterkait M, Almutarie A, Alduaij M. Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data. Journal of Cases on Information Technology 2024;26(1):1 View
  4. Steinbrink E, Reuter C. The impact of transparency and trust on user acceptance of contact tracing apps: Implications for the adoption of crisis response apps. International Journal of Disaster Risk Reduction 2024;112:104661 View
  5. Salins P, Nair S, Kundapur P, Pandey A, Reshmi B, Mandapam S. Effectiveness of a mHealth application on remote monitoring and self-management of persons with hypertension in a coastal taluk of Udupi district: A study protocol for a community-based Cluster Randomized trial. F1000Research 2025;11:1393 View
  6. Massari A, D’Addosio V, De Nicolò V, L’Abbate S. Privacy Protection in COVID Data Tracking: Textual Analysis of the Literature. Applied Mathematics 2024;15(03):235 View
  7. Massari A, Solarino B, Perchinunno P, D’Uggento A, Benevento M, D’Addosio V, Nicolò V, L’Abbate S. Statistical Analysis of Abilities to Give Consent to Health Data Processing. Applied Mathematics 2024;15(08):508 View