Evidence map›Paper›PMID 34870268›Full record

ArticleFrontiers in digital health2021

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

Hinta Meijerink, Camilla Mauroy, Mia Karoline Johansen, Sindre Møgster Braaten, Christine Ursin Steen Lunde, Trude Margrete Arnesen, Siri Laura Feruglio, Karin Nygård, Elisabeth Henie Madslien

Abstract read
In one paragraph

Article in Frontiers in digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. The utility of bluetooth and smartphone technology to detect peer contact.Experimental and clinical psychopharmacology · 2026
    Article
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Hinta MeijerinkDepartment of Infectious Diseases and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
Camilla MauroyDepartment of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
Mia Karoline JohansenDepartment of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
Sindre Møgster BraatenDepartment of Information Technology (IT) Systems Bergen, Norwegian Institute of Public Health, Bergen, Norway.
Christine Ursin Steen LundeCenter for Test and Quality Assurance at Norwegian Health Network, Norsk Helsenett, Trondheim, Norway.
Trude Margrete ArnesenDepartment of Infectious Diseases and Vaccines, Norwegian Institute of Public Health, Oslo, Norway.
Siri Laura FeruglioDepartment of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
Karin NygårdDepartment of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.
Elisabeth Henie MadslienDepartment of Infectious Diseases and Prevention, Norwegian Institute of Public Health, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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,

Indexed as

contact tracingCOVID-19digital technologyexposure notificationmobile applications

Identifiers

PMID34870268
PMCPMC8637921

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.