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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8180| Individual level analysis of digital proximity tracing for COVID-19 in Belgium highlights major bottlenecks | |
| Caspar Geenen Joren Raymenants Sarah Gorissen Jonathan Thibaut Jodie McVernon Natalie Lorent Emmanuel André | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.08.11.23293971 | |
| https://www.medrxiv.org/content/10.1101/2023.08.11.23293971v1 | |
| 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 for 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 notifications. These results highlight major limitations of the dominant digital proximity tracing framework. | |
| bioRxiv | |
| 15-08-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Individual level analysis of digital proximity tracing for COVID-19 in Belgium highlights major bottlenecks.pdf | 1.64 MB | Adobe PDF | Visualizar/Abrir |