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The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios

The coronavirus disease 2019 (COVID-19) response in most countries has relied on testing, isolation, contact tracing, and quarantine (TITQ), which is labor- and time-consuming. Therefore, several countries worldwide launched Bluetooth-based apps as supplementary tools. The aim of using contact traci...

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Autores principales: Meijerink, Hinta, Mauroy, Camilla, Johansen, Mia Karoline, Braaten, Sindre Møgster, Lunde, Christine Ursin Steen, Arnesen, Trude Margrete, Feruglio, Siri Laura, Nygård, Karin, Madslien, Elisabeth Henie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637921/
https://www.ncbi.nlm.nih.gov/pubmed/34870268
http://dx.doi.org/10.3389/fdgth.2021.731098
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author Meijerink, Hinta
Mauroy, Camilla
Johansen, Mia Karoline
Braaten, Sindre Møgster
Lunde, Christine Ursin Steen
Arnesen, Trude Margrete
Feruglio, Siri Laura
Nygård, Karin
Madslien, Elisabeth Henie
author_facet Meijerink, Hinta
Mauroy, Camilla
Johansen, Mia Karoline
Braaten, Sindre Møgster
Lunde, Christine Ursin Steen
Arnesen, Trude Margrete
Feruglio, Siri Laura
Nygård, Karin
Madslien, Elisabeth Henie
author_sort Meijerink, Hinta
collection PubMed
description The coronavirus disease 2019 (COVID-19) response in most countries has relied on testing, isolation, contact tracing, and quarantine (TITQ), which is labor- and time-consuming. Therefore, several countries worldwide launched Bluetooth-based apps as supplementary tools. The aim of using contact tracing apps is to rapidly notify people about their possible exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and thus make the process of TITQ more efficient, especially upon exposure in public places. We evaluated the Norwegian Google Apple exposure notification (GAEN)-based contact tracing app Smittestopp v2 under relevant “real-life” test scenarios. We used a total of 40 devices, representing six different brands, and compared two different exposure configurations, experimented with different time thresholds and weights of the Bluetooth attenuation levels (buckets), and calculated the true notification rates among close contacts (≤2 m and ≥15 min) and false notification of sporadic contacts. In addition, we assessed the impact of using different operating systems and locations of the phone (hand/pocket). The best configuration tested to trigger exposure notification resulted in the correct notification of 80% of the true close contacts and incorrect notification of 34% of the sporadic contacts. Among those who incorrectly received notifications, most (67%) were within 2 m but the duration of contact was <15 min and thus they were not, per se, considered as “close contacts.” Lower sensitivity was observed when using the iOS operating systems or carrying the phone in the pocket instead of in the hand. The results of this study were used to improve and evaluate the performance of the Norwegian contact-tracing app Smittestopp.
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spelling pubmed-86379212021-12-03 The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios Meijerink, Hinta Mauroy, Camilla Johansen, Mia Karoline Braaten, Sindre Møgster Lunde, Christine Ursin Steen Arnesen, Trude Margrete Feruglio, Siri Laura Nygård, Karin Madslien, Elisabeth Henie Front Digit Health Digital Health The coronavirus disease 2019 (COVID-19) response in most countries has relied on testing, isolation, contact tracing, and quarantine (TITQ), which is labor- and time-consuming. Therefore, several countries worldwide launched Bluetooth-based apps as supplementary tools. The aim of using contact tracing apps is to rapidly notify people about their possible exposure to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and thus make the process of TITQ more efficient, especially upon exposure in public places. We evaluated the Norwegian Google Apple exposure notification (GAEN)-based contact tracing app Smittestopp v2 under relevant “real-life” test scenarios. We used a total of 40 devices, representing six different brands, and compared two different exposure configurations, experimented with different time thresholds and weights of the Bluetooth attenuation levels (buckets), and calculated the true notification rates among close contacts (≤2 m and ≥15 min) and false notification of sporadic contacts. In addition, we assessed the impact of using different operating systems and locations of the phone (hand/pocket). The best configuration tested to trigger exposure notification resulted in the correct notification of 80% of the true close contacts and incorrect notification of 34% of the sporadic contacts. Among those who incorrectly received notifications, most (67%) were within 2 m but the duration of contact was <15 min and thus they were not, per se, considered as “close contacts.” Lower sensitivity was observed when using the iOS operating systems or carrying the phone in the pocket instead of in the hand. The results of this study were used to improve and evaluate the performance of the Norwegian contact-tracing app Smittestopp. Frontiers Media S.A. 2021-11-17 /pmc/articles/PMC8637921/ /pubmed/34870268 http://dx.doi.org/10.3389/fdgth.2021.731098 Text en Copyright © 2021 Meijerink, Mauroy, Johansen, Braaten, Lunde, Arnesen, Feruglio, Nygård and Madslien. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Meijerink, Hinta
Mauroy, Camilla
Johansen, Mia Karoline
Braaten, Sindre Møgster
Lunde, Christine Ursin Steen
Arnesen, Trude Margrete
Feruglio, Siri Laura
Nygård, Karin
Madslien, Elisabeth Henie
The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title_full The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title_fullStr The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title_full_unstemmed The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title_short The First GAEN-Based COVID-19 Contact Tracing App in Norway Identifies 80% of Close Contacts in “Real Life” Scenarios
title_sort first gaen-based covid-19 contact tracing app in norway identifies 80% of close contacts in “real life” scenarios
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637921/
https://www.ncbi.nlm.nih.gov/pubmed/34870268
http://dx.doi.org/10.3389/fdgth.2021.731098
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