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

Early Results from COVID-19 Studies (281) JMIR Theme Issue: COVID-19 Special Issue (2394) Focus Groups and Qualitative Research for Human Factors Research (781) Theme Issue: Apps for COVID-19 (#Apps4Covid) (133) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (138)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36003, first published .
Optimizing the Acceptability, Adherence, and Inclusiveness of the COVID Radar Surveillance App: Qualitative Study Using Focus Groups, Thematic Content Analysis, and Usability Testing

Optimizing the Acceptability, Adherence, and Inclusiveness of the COVID Radar Surveillance App: Qualitative Study Using Focus Groups, Thematic Content Analysis, and Usability Testing

Optimizing the Acceptability, Adherence, and Inclusiveness of the COVID Radar Surveillance App: Qualitative Study Using Focus Groups, Thematic Content Analysis, and Usability Testing

Authors of this article:

Bas Splinter1 Author Orcid Image ;   Nicholas H Saadah1, 2 Author Orcid Image ;   Niels H Chavannes1, 2 Author Orcid Image ;   Jessica C Kiefte-de Jong1, 2 Author Orcid Image ;   Jiska J Aardoom1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Bas Splinter   1 , MD ;   Nicholas H Saadah   1, 2 , PhD ;   Niels H Chavannes   1, 2 , MD, PhD ;   Jessica C Kiefte-de Jong   1, 2 , PhD ;   Jiska J Aardoom   1, 2 , PhD

1 Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands

2 National eHealth Living Lab, Leiden, Netherlands

Corresponding Author:

  • Jiska J Aardoom, PhD
  • Department of Public Health and Primary Care
  • Leiden University Medical Center
  • Hippocratespad 21
  • Leiden, 2300 RC
  • Netherlands
  • Phone: 31 071 526 843
  • Email: J.J.Aardoom@lumc.nl