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

Early Results from COVID-19 Studies (363) Outbreak and Pandemic Preparedness and Management (1826) Focus Groups and Qualitative Research for Human Factors Research (1218) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (161) Contact Tracing for Public Health Policy (3) Usability of Apps and User Perceptions of mHealth (1188) Mobile Health (mhealth) (3463) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717)

Published on in Vol 8 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56000, first published .
Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response

Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response

Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response

Authors of this article:

Anna Palmer1 Author Orcid Image ;   Shaishab Sharma1 Author Orcid Image ;   Jayesh Nagpal2 Author Orcid Image ;   Victor Kimani3 Author Orcid Image ;   Florence Mai4 Author Orcid Image ;   Zara Ahmed4 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

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