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

Systematic Review Protocols (272) JMIR Theme Issue: COVID-19 Special Issue (2457) Outbreak and Pandemic Preparedness and Management (1737) Infectious Diseases (non-STD/STI) (1584) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Theme Issue: Apps for COVID-19 (#Apps4Covid) (137) Surveillance Systems (464) Usability of Apps and User Perceptions of mHealth (988)

Published on in Vol 10, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28961, first published .
Factors Influencing the Adoption of Contact Tracing Applications: Protocol for a Systematic Review

Factors Influencing the Adoption of Contact Tracing Applications: Protocol for a Systematic Review

Factors Influencing the Adoption of Contact Tracing Applications: Protocol for a Systematic Review

Authors of this article:

Kiemute Oyibo1 Author Orcid Image ;   Kirti Sundar Sahu1 Author Orcid Image ;   Arlene Oetomo1 Author Orcid Image ;   Plinio Pelegrini Morita1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (8) Metrics

Journals

  1. 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
  2. Oyibo K, Sahu K, Oetomo A, Morita P. Factors Influencing the Adoption of Contact Tracing Applications: Systematic Review and Recommendations. Frontiers in Digital Health 2022;4 View
  3. Kulyk O, Britton-Steele L, Paja E, Duckert M, Barkhuus L. #34;You have been in Close Contact with a Person Infected with COVID-19 and you may have been Infected#34;. Proceedings of the ACM on Human-Computer Interaction 2022;6(MHCI):1 View
  4. Scrivano N, Gulino R, Giansanti D. Digital Contact Tracing and COVID-19: Design, Deployment, and Current Use in Italy. Healthcare 2021;10(1):67 View
  5. Sauvayre R. Types of Errors Hiding in Google Scholar Data. Journal of Medical Internet Research 2022;24(5):e28354 View
  6. Herrera Montano I, Pérez Pacho J, Gracia Villar S, Aparicio Obregón S, Breñosa Martinez J, de la Torre Díez I. Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field. Scientific Reports 2022;12(1) View
  7. Oyibo K, Morita P. The Effect of Persuasive Design on the Adoption of Exposure Notification Apps: Quantitative Study Based on COVID Alert. JMIR Formative Research 2022;6(9):e34212 View
  8. Ong A, Prasetyo Y, Yuduang N, Nadlifatin R, Persada S, Robas K, Chuenyindee T, Buaphiban T. Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand. International Journal of Environmental Research and Public Health 2022;19(13):7979 View
  9. Zhang J, Dai R, Rjob A, Wang R, Hamauon R, Candell J, Bailey T, Fraser V, Guillamet M, Lu C. Contact Tracing for Healthcare Workers in an Intensive Care Unit. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  10. Ramos Y, Jovita-Olvez H, Tomaro Q, Batara E, Mutiarin D, Alam M, Cahill D, Sharifuddin J, Senge M, Robani A, Saiyut P, Nurmandi A. Behavioral intention & use behavior of citizens in Iligan city towards the staysafe.ph application during the covid 19 pandemic. E3S Web of Conferences 2023;440:03017 View
  11. Feng Y, Stenger B, Zhang S. Contextual Acceptance of COVID-19 Mitigation Mobile Apps in the United States: Mixed Methods Survey Study on Postpandemic Data Privacy. Journal of Medical Internet Research 2024;26:e57309 View
  12. Ouedraogo I, Some B, Oyibo K, Benedikter R, Diallo G. Evaluating a phone-based Interactive Voice Response system for reducing misinformation and improving malaria literacy. Information Technology for Development 2024:1 View