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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) Outbreak and Pandemic Preparedness and Management (1826) Cross-Sectional Studies in Public Health (430) Design and Formative Evaluation of Mobile Apps (809) Usability of Apps and User Perceptions of mHealth (1188) Public Health for Asian/Pacific Islands (10) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) Innovative Methods in Public Health and Surveillance (383) Security and Privacy of mHealth and uHealth (158) Participatory Epidemiology and Surveillance (127) Surveillance Systems (514) Infectious Diseases (non-STD/STI) (1725) Mobile Health (mhealth) (3463) Reviews on Usage or other Formative Evaluation Metrics (59)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53340, first published .
Survey of Citizens’ Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis

Survey of Citizens’ Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis

Survey of Citizens’ Preferences for Combined Contact Tracing App Features During a Pandemic: Conjoint Analysis

Authors of this article:

Seiji Bito1 Author Orcid Image ;   Yachie Hayashi1 Author Orcid Image ;   Takanori Fujita2 Author Orcid Image ;   Ikuo Takahashi3 Author Orcid Image ;   Hiromi Arai4 Author Orcid Image ;   Shigeto Yonemura5 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Anwar S, Anderson J. Privacy-Driven Classification of Contact Tracing Platforms: Architecture and Adoption Insights. Cryptography 2025;9(4):60 View