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

Early Results from COVID-19 Studies (167) JMIR Theme Issue: COVID-19 Special Issue (2087) Focus Groups and Qualitative Research with Users (589) Theme Issue: Apps for COVID-19 (#Apps4Covid) (122) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (121)

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 Splinter 1 Author Orcid Image ;   Nicholas H Saadah 1, 2 Author Orcid Image ;   Niels H Chavannes 1, 2 Author Orcid Image ;   Jessica C Kiefte-de Jong 1, 2 Author Orcid Image ;   Jiska J Aardoom 1, 2 Author Orcid Image
Article Authors Cited by Tweetations (4) 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 , NL

2 National eHealth Living Lab , Leiden , NL

Corresponding Author:

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