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

Early Results from COVID-19 Studies (337) JMIR Theme Issue: COVID-19 Special Issue (2493) Public (e)Health, Digital Epidemiology and Public Health Informatics (858) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (153) Outbreak and Pandemic Preparedness and Management (1779) Mobile Health (mhealth) (3156)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41479, first published .
The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis

The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis

The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis

Authors of this article:

Tessi M Hengst1 Author Orcid Image ;   Lilian Lechner1 Author Orcid Image ;   Laura Nynke van der Laan2 Author Orcid Image ;   Arjen Hommersom3 Author Orcid Image ;   Daan Dohmen4 Author Orcid Image ;   Lotty Hooft5 Author Orcid Image ;   Esther Metting6, 7 Author Orcid Image ;   Wolfgang Ebbers8 Author Orcid Image ;   Catherine A W Bolman1 Author Orcid Image
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JMIR Formative Res: The Adoption of a #covid19 Contact-Tracing App: Cluster Analysis https://t.co/CiETxrY0sK https://t.co/Ezd8ePpc9b

1:40 PM · Jun 20, 2023

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RT @jmirpub: JMIR Formative Res: The Adoption of a #covid19 Contact-Tracing App: Cluster Analysis https://t.co/CiETxrY0sK https://t.co/Ezd8…

1:40 PM · Jun 20, 2023

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The Adoption of a COVID-19 Contact-Tracing App: Cluster Analysis https://t.co/GnrJncAR4W

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