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What users think of COVID-19 contact-tracing apps: An analysis of eight European apps
University Belfast, GBR.
University Belfast, GBR.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-3818-4442
2022 (English)In: IEEE Software, ISSN 0740-7459, E-ISSN 1937-4194, Vol. 39, no 3, p. 22-30Article in journal (Refereed) Published
Abstract [en]

More than 64 countries and regions have, so far, developed COVID-19 contact-tracing apps to limit the spread of coronavirus. However, many experts and scientists cast doubt on the effectiveness of those apps. For each app, between a few hundred to a few thousand reviews have been entered by end-users in app stores. In this paper, we mine insights from the user reviews of contact-tracing apps of eight European countries to find out what end users think of COVID contact-tracing apps and the main problems that users have reported. IEEE

Place, publisher, year, edition, pages
IEEE Computer Society, 2022. Vol. 39, no 3, p. 22-30
Keywords [en]
Blogs, Contact-tracing, COVID-19, Data mining, Europe, Mobile apps, Sociology, Software engineering, Tools, User reviews, Computer software, App stores, Contact tracing, Coronaviruses, End users, European Countries
National Category
Computer Sciences Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:bth-22008DOI: 10.1109/MS.2021.3097284ISI: 000811542700006Scopus ID: 2-s2.0-85110787618OAI: oai:DiVA.org:bth-22008DiVA, id: diva2:1584485
Available from: 2021-08-12 Created: 2021-08-12 Last updated: 2023-06-29Bibliographically approved

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Felderer, Michael

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