Individual level analysis of digital proximity tracing for COVID-19 in Belgium highlights major bottlenecks

Abstract To complement labour-intensive conventional contact tracing, digital proximity tracing was implemented widely during the COVID-19 pandemic. However, the privacy-centred design of the dominant Google-Apple exposure notification framework has hindered assessment of its effectiveness. Between October 2021 and January 2022, we systematically collected app use and notification receipt data within a test and trace programme targeting around 50,000 university students in Leuven, Belgium. Due to low success rates in each studied step of the digital notification cascade, only 4.3% of exposed c... Mehr ...

Verfasser: Geenen, Caspar
Raymenants, Joren
Gorissen, Sarah
Thibaut, Jonathan
McVernon, Jodie
Lorent, Natalie
André, Emmanuel
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: Nature Communications ; volume 14, issue 1 ; ISSN 2041-1723
Verlag/Hrsg.: Springer Science and Business Media LLC
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28958274
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1038/s41467-023-42518-6

Abstract To complement labour-intensive conventional contact tracing, digital proximity tracing was implemented widely during the COVID-19 pandemic. However, the privacy-centred design of the dominant Google-Apple exposure notification framework has hindered assessment of its effectiveness. Between October 2021 and January 2022, we systematically collected app use and notification receipt data within a test and trace programme targeting around 50,000 university students in Leuven, Belgium. Due to low success rates in each studied step of the digital notification cascade, only 4.3% of exposed contacts (CI: 2.8-6.1%) received such notifications, resulting in 10 times more cases detected through conventional contact tracing. Moreover, the infection risk of digitally traced contacts (5.0%; CI: 3.0–7.7%) was lower than that of conventionally traced non-app users (9.8%; CI: 8.8-10.7%; p = 0.002). Contrary to common perception as near instantaneous, there was a 1.2-day delay (CI: 0.6–2.2) between case PCR result and digital contact notification. These results highlight major limitations of a digital proximity tracing system based on the dominant framework.