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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.
  • Meijerink H; Department of Infectious Diseases and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
  • Mauroy C; Department of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
  • Johansen MK; Department of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
  • Braaten SM; Department of Information Technology (IT) Systems Bergen, Norwegian Institute of Public Health, Bergen, Norway.
  • Lunde CUS; Center for Test and Quality Assurance at Norwegian Health Network, Norsk Helsenett, Trondheim, Norway.
  • Arnesen TM; Department of Infectious Diseases and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
  • Feruglio SL; Department of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
  • Nygård K; Department of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
  • Madslien EH; Department of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
Front Digit Health ; 3: 731098, 2021.
Article in English | MEDLINE | ID: covidwho-1555794
Preprint
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ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Front Digit Health Year: 2021 Document Type: Article Affiliation country: Fdgth.2021.731098

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Front Digit Health Year: 2021 Document Type: Article Affiliation country: Fdgth.2021.731098