Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29923, first published .
Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Prosociality and the Uptake of COVID-19 Contact Tracing Apps: Survey Analysis of Intergenerational Differences in Japan

Journals

  1. Shoji M, Cato S, Iida T, Ishida K, Ito A, McElwain K. Variations in Early-Stage Responses to Pandemics: Survey Evidence from the COVID-19 Pandemic in Japan. Economics of Disasters and Climate Change 2022;6(2):235 View
  2. 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
  3. Shibuya Y, Lai C, Hamm A, Takagi S, Sekimoto Y. Do open data impact citizens’ behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic. Scientific Reports 2022;12(1) View
  4. Harada T, Shoji M, Takafuji Y. Intergenerational spillover effects of school-based disaster education: Evidence from Indonesia. International Journal of Disaster Risk Reduction 2023;85:103505 View
  5. Pinnock H, Murphie P, Vogiatzis I, Poberezhets V. Telemedicine and virtual respiratory care in the era of COVID-19. ERJ Open Research 2022;8(3):00111-2022 View
  6. Aida T, Shoji M. Cross-country evidence on the role of national governance in boosting COVID-19 vaccination. BMC Public Health 2022;22(1) View
  7. Bannister-Tyrrell M, Chen M, Choi V, Miglietta A, Galea G. Systematic scoping review of the implementation, adoption, use, and effectiveness of digital contact tracing interventions for COVID-19 in the Western Pacific Region. The Lancet Regional Health - Western Pacific 2023;34:100647 View
  8. Wileden L, Anthony D, Campos-Castillo C, Morenoff J. Resident Willingness to Participate in Digital Contact Tracing in a COVID-19 Hotspot: Findings From a Detroit Panel Study. JMIR Public Health and Surveillance 2023;9:e39002 View
  9. Reeck C, Posner N, Mrkva K, Johnson E. Nudging App Adoption: Choice Architecture Facilitates Consumer Uptake of Mobile Apps. Journal of Marketing 2023;87(4):510 View
  10. Chong Y, Chien W, Cheng H, Lamnisos D, Ļubenko J, Presti G, Squatrito V, Constantinou M, Nicolaou C, Papacostas S, Aydin G, Ruiz F, Garcia-Martin M, Obando-Posada D, Segura-Vargas M, Vasiliou V, McHugh L, Höfer S, Baban A, Neto D, da Silva A, Monestès J, Alvarez-Galvez J, Blarrina M, Montesinos F, Salas S, Őri D, Kleszcz B, Lappalainen R, Ivanović I, Gosar D, Dionne F, Merwin R, Gloster A, Kassianos A, Karekla M. Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study. Globalization and Health 2023;19(1) View
  11. Fox G, van der Werff L, Rosati P, Lynn T. Investigating Citizens’ Acceptance of Contact Tracing Apps: Quantitative Study of the Role of Trust and Privacy. JMIR mHealth and uHealth 2024;12:e48700 View
  12. Sujarwoto S, Maharani A. Facilitators and barriers to the adoption of mHealth apps for COVID-19 contact tracing: a systematic review of the literature. Frontiers in Public Health 2023;11 View
  13. 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
  14. Kurokawa H, Sasaki S, Ohtake F. The role of nudge-based messages on the acceptability and download of COVID-19 contact tracing apps: survey experiments. The Japanese Economic Review 2024 View