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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8637921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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