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

Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) JMIR Theme Issue: COVID-19 Special Issue (2452) Viewpoints and Perspectives (514) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (148) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Participatory Epidemiology and Surveillance (119)

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 Nakamoto1 Author Orcid Image ;   Ming Jiang1 Author Orcid Image ;   Jilin Zhang1 Author Orcid Image ;   Weiqing Zhuang1 Author Orcid Image ;   Yan Guo1 Author Orcid Image ;   Ming-Hui Jin1 Author Orcid Image ;   Yi Huang1 Author Orcid Image ;   Kuotai Tang1 Author Orcid Image
Article Authors Cited by (36) 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, Ando H, Eguchi H, Ikegami K, Ishimaru T, Harada A, Kitagawa K, Mafune K, Matsugaki R, Mori K, Muramatsu K, Nagata T, Liu N, Tanaka R, Tateishi S, Tokutsu K. 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
  20. Yang S. The Implications of Using Digital Technologies in the Management of COVID-19: Comparative Study of Japan and South Korea. Journal of Medical Internet Research 2023;25:e45705 View
  21. Saeidnia H, Kozak M, Ausloos M, Lund B, Ghorbi A, Mohammadzadeh Z. Evaluation of COVID-19 m-Health apps: An analysis of the methods of app usability testing during a global pandemic. Informatics in Medicine Unlocked 2023;41:101310 View
  22. Wang S, Zhao X, Qiu J, Wang H, Tao C. WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic. Geo-spatial Information Science 2023:1 View
  23. LIU J, WU J, GONG S, HU W, ZHOU Y, HU S. RESEARCH AND APPLICATION ADVANCES OF ARTIFICIAL INTELLIGENCE IN DIAGNOSIS AND EPIDEMIC PREDICTION OF COVID-19. Fractals 2023;31(06) View
  24. Louw C. Digital Public Health Solutions in Response to the COVID-19 Pandemic: Comparative Analysis of Contact Tracing Solutions Deployed in Japan and Germany. Journal of Medical Internet Research 2023;25:e44966 View
  25. Garavand A, Ameri F, Salehi F, Talebi A, Karbasi Z, Sabahi A, Ortega A. A Systematic Review of Health Management Mobile Applications in COVID-19 Pandemic: Features, Advantages, and Disadvantages. BioMed Research International 2024;2024:1 View
  26. Jamieson J, Yamashita N, Epstein D, Chen Y. Deciding If and How to Use a COVID-19 Contact Tracing App: Influences of Social Factors on Individual Use in Japan. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
  27. Galetsi P, Katsaliaki K, Kumar S. Realizing Resilient Global Market Opportunities and Societal Benefits Through Innovative Digital Technologies in the Post COVID-19 Era: A Conceptual Framework and Critical Literature Review. IEEE Transactions on Engineering Management 2024;71:10650 View
  28. Unim B, Zile-Velika I, Pavlovska Z, Lapao L, Peyroteo M, Misins J, Forjaz M, Nogueira P, Grisetti T, Palmieri L. The role of digital tools and emerging devices in COVID-19 contact tracing during the first 18 months of the pandemic: a systematic review. European Journal of Public Health 2024;34(Supplement_1):i11 View
  29. 이 정, 김 연, 이 강, 남 기, 테오스 , 정 승, 이 우, 오 주, 황 승, 김 다. 코로나바이러스감염증-19 접촉추적격리 정책 국제 비교 및 정책 효과 시뮬레이션 연구. Public Health Weekly Report 2024;17(30):1267 View
  30. Bito S, Hayashi Y, Fujita T, Takahashi I, Arai H, Yonemura S. Survey of Citizens’ Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis. JMIR Public Health and Surveillance 2024;10:e53340 View
  31. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Fischer F. Covid-19 pandisziplinär und international. View
  2. Gresham L, Alemu W, Divi N, Alhusseini N, Awoniyi O, Bashir A, Shaikh A, McNabb S. Modernizing Global Health Security to Prevent, Detect, and Respond. View