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QR codes and automated decision-making in the Covid-19 pandemic

Bibliographic Data

ID12655725
AuthorsG Goggin (0000-0002-2954-5309, The University of Sydney), Rowan Wilken (0000-0002-3022-0675, RMIT University, corresponding author)
Year2024
Volume26
Issue3
Pages1268-1289
Publication date2024-02-26
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448231201649
OpenAlexW4392163703
LanguageEN
Citations received3
References cited46

In this article, we explore Quick Response (QR) codes (machine-readable optical labels that link to information) and how, after a period of having fallen out of favor, they have been reactivated and have come to underpin COVID-19 automation and contact-tracing efforts. During the pandemic, they were used especially for “safe entry” and other kinds of check-in to locations to facilitate contact tracing. In this context, QR codes facilitate automated decision-making in relation to infectious disease surveillance and disease outbreak control. However, the use of QR codes for contact-tracing purposes has enjoyed mixed success and its implementation has encountered several challenges, as we illustrate through a case study that explores QR codes and COVID contact tracing in Singapore and Australia

Automation · Computer security · Contact tracing · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Data science · Geography · Infectious disease (medical specialty · Pandemic · Programming language · Tracing · Computer Science · COVID-19 Digital Contact Tracing · Engineering · Immune responses and vaccinations · Medicine · QR Code Applications and Technologies

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Highly citedNo

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