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

Early Results from COVID-19 Studies (338) Web-based and Mobile Health Interventions (3646) JMIR Theme Issue: COVID-19 Special Issue (2496) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (153) Hygiene and Infection Prevention (348)

Published on in Vol 6, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37891, first published .
Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study

Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study

Preferences in the Willingness to Download a COVID-19 Contact Tracing App in the Netherlands and Turkey: Experimental Study

Authors of this article:

Frans Folkvord1, 2 Author Orcid Image ;   Lutz Peschke3 Author Orcid Image ;   Yasemin Gümüş Ağca3 Author Orcid Image ;   Karlijn van Houten2 Author Orcid Image ;   Giacomo Stazi2 Author Orcid Image ;   Francisco Lupiáñez-Villanueva2, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Peschke L, Gyftopoulos S, Kapusuzoğlu A, Folkvord F, Gümüş Ağca Y, Kaldoudi E, Drosatos G, Ceylan N, Pecchia L, Güneş Peschke S. Practices of Knowledge Exchange in the Context of the COVID-19 Pandemic. Journal of the Knowledge Economy 2023;15(3):12881 View
  2. Latt P, Soe N, King A, Lee D, Phillips T, Xu X, Chow E, Fairley C, Zhang L, Ong J. Preferences for attributes of an artificial intelligence-based risk assessment tool for HIV and sexually transmitted infections: a discrete choice experiment. BMC Public Health 2024;24(1) View
  3. Pigera S, van Schaik P, Renaud K, Campbell M, Manley P, Esser P. Privacy and Security in Digital Health Contact-Tracing: A Narrative Review. Applied Sciences 2025;15(2):865 View

Conference Proceedings

  1. Pascarelli C, Colucci C, Mitrano G, Corallo A. 2023 IEEE Symposium on Computers and Communications (ISCC). Business Models in Digital Health: Bibliometric Analysis and Systematic Literature Review View