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) Viewpoints and Perspectives (375) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (121) Infectious Diseases (non-STD/STI) (1224) Outbreak and Pandemic Preparedness and Management (1454) Participatory Epidemiology and Surveillance (92)

Published on in Vol 8 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22098, first published .
Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan

Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan

Evaluation of the Design and Implementation of a Peer-To-Peer COVID-19 Contact Tracing Mobile App (COCOA) in Japan

Authors of this article:

Ichiro Nakamoto 1 Author Orcid Image ;   Ming Jiang 1 Author Orcid Image ;   Jilin Zhang 1 Author Orcid Image ;   Weiqing Zhuang 1 Author Orcid Image ;   Yan Guo 1 Author Orcid Image ;   Ming-Hui Jin 1 Author Orcid Image ;   Yi Huang 1 Author Orcid Image ;   Kuotai Tang 1 Author Orcid Image
Article Authors Cited by (22) Tweetations (1) Metrics

Journals

  1. Mao Z, Yao H, Zou Q, Zhang W, Dong Y. Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study. JMIR mHealth and uHealth 2021;9(1):e26836 View
  2. Grekousis G, Liu Y. Digital contact tracing, community uptake, and proximity awareness technology to fight COVID-19: a systematic review. Sustainable Cities and Society 2021;71:102995 View
  3. O'Connell J, Abbas M, Beecham S, Buckley J, Chochlov M, Fitzgerald B, Glynn L, Johnson K, Laffey J, McNicholas B, Nuseibeh B, O'Callaghan M, O'Keeffe I, Razzaq A, Rekanar K, Richardson I, Simpkin A, Storni C, Tsvyatkova D, Walsh J, Welsh T, O'Keeffe D. Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature. JMIR mHealth and uHealth 2021;9(6):e27753 View
  4. Shoji M, Ito A, Cato S, Iida T, Ishida K, Katsumata H, McElwain K. Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan. JMIR mHealth and uHealth 2021;9(8):e29923 View
  5. Gardner R, Haskell J, Jenkins B, Capizzo L, Cooper E, Morphis B. Innovative Use of a Mobile Web Application to Remotely Monitor Nonhospitalized Patients with COVID-19. Telemedicine and e-Health 2022;28(9):1285 View
  6. Ando H, Ikegami K, Nagata T, Tateishi S, Eguchi H, Tsuji M, Matsuda S, Fujino Y, Ogami A. Effect of commuting on the risk of COVID-19 and COVID-19-induced anxiety in Japan, December 2020. Archives of Public Health 2021;79(1) View
  7. Sood S, Rawat K, Kumar D. Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace. Telematics and Informatics 2022;69:101796 View
  8. Ishimaru T, Ibayashi K, Nagata M, Hino A, Tateishi S, Tsuji M, Ogami A, Matsuda S, Fujino Y, Fujino Y, Ando H, Eguchi H, Ikegami K, Ishimaru T, Harada A, Hino A, Kitagawa K, Mafune K, Matsuda S, Matsugaki R, Mori K, Muramatsu K, Nagata M, Nagata T, Liu N, Ogami A, Tanaka R, Tateishi S, Tokutsu K, Tsuji M. Industry and workplace characteristics associated with the downloading of a COVID-19 contact tracing app in Japan: a nation-wide cross-sectional study. Environmental Health and Preventive Medicine 2021;26(1) View
  9. 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
  10. Shoji M, Cato S, Ito A, Iida T, Ishida K, Katsumata H, McElwain K. Mobile health technology as a solution to self-control problems: The behavioral impact of COVID-19 contact tracing apps in Japan. Social Science & Medicine 2022;306:115142 View
  11. Mashat A, Alabdali A, Asghar M. QoS-Aware Smart Phone-Based User Tracking Application to Prevent Outbreak of COVID-19 in Saudi Arabia. Computational Intelligence and Neuroscience 2022;2022:1 View
  12. Ojokoh B, Aribisala B, Sarumi O, Gabriel A, Omisore O, Taiwo A, Igbe T, Chukwuocha U, Yusuf T, Afolayan A, Babalola O, Adebayo T, Afolabi O. Contact Tracing Strategies for COVID-19 Prevention and Containment: A Scoping Review. Big Data and Cognitive Computing 2022;6(4):111 View
  13. Carballada A, Balsa-Barreiro J. Geospatial Analysis and Mapping Strategies for Fine-Grained and Detailed COVID-19 Data with GIS. ISPRS International Journal of Geo-Information 2021;10(9):602 View
  14. Shanbehzadeh M, Kazemi-Arpanahi H. Developing a Minimum Dataset for a Mobile-based Contact Tracing System for the COVID-19 Pandemic. Shiraz E-Medical Journal 2021;23(3) View
  15. Bito S, Hayashi Y, Fujita T, Yonemura S. Public Attitudes Regarding Trade-offs Between the Functional Aspects of a Contact-Confirming App for COVID-19 Infection Control and the Benefits to Individuals and Public Health: Cross-sectional Survey. JMIR Formative Research 2022;6(7):e37720 View
  16. Keykhaei M, Koolaji S, Mohammadi E, Kalantar R, Saeedi Moghaddam S, Aminorroaya A, Zokaei S, Azadnajafabad S, Rezaei N, Ghasemi E, Rezaei N, Haghshenas R, Farzi Y, Rashedi S, Larijani B, Farzadfar F. Dissection of non-pharmaceutical interventions implemented by Iran, South Korea, and Turkey in the fight against COVID-19 pandemic. Journal of Diabetes & Metabolic Disorders 2021;20(2):1919 View
  17. Ye F, Majumder S, Jiang W, Li X, Balakrishnan N, Zhang Y, Deen M. A Framework for Infectious Disease Monitoring With Automated Contact Tracing—A Case Study of COVID-19. IEEE Internet of Things Journal 2023;10(1):144 View
  18. Galetsi P, Katsaliaki K, Kumar S. The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19. Social Science & Medicine 2022;301:114973 View
  19. Fujii S, Nonaka S, Nakayama M. Use of Medical Information and Digital Services for Self-Empowerment before, during, and after a Major Disaster. The Tohoku Journal of Experimental Medicine 2021;255(3):183 View