Evidence map›Paper›PMID 42766493›Full record

ArticleJMIR public health and surveillance2026

Evaluation of the Finnish Exposure Notification App "Koronavilkku" According to Key Performance Indicators: Cross-Sectional Study.

Wioleta Kitowska, Mika Pihlajamäki, Sara Wickström, Kaija Tolmunen, Otto Helve, Juha Mykkänen, Timothée Dub, Lotta Siira

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Wioleta KitowskaField Epidemiology Path (EPIET), ECDC Fellowship Programme, European Centre for Disease Prevention and Control, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5367-8403
Mika PihlajamäkiFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0000-0002-1779-5941
Sara WickströmFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0000-0002-3909-5137
Kaija TolmunenGofore Oyj, Helsinki, Finland.ORCID http://orcid.org/0000-0003-1556-0169
Otto HelveFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0000-0001-6254-3180
Juha MykkänenFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0009-0009-8369-6552
Timothée DubFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0000-0002-1819-518X
Lotta SiiraFinnish Institute for Health and Welfare (THL), Mannerheimintie 166, Helsinki, Uusimaa, 00300, Finland, 358 29 524 6000.ORCID http://orcid.org/0000-0002-0330-7396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile exposure notification apps (ENAs) can play a significant role in future pandemics. Identifying lessons learned and areas for improvement from such apps, particularly within specific social and cultural contexts, is therefore crucial. Objective: This study aimed to evaluate the Finnish ENA "Koronavilkku," according to chosen key performance indicators to assess the ENA's use and performance during the COVID-19 pandemic in Finland, and to identify strengths and improvement areas. Methods: Using available data on Finland's ENA, we defined metrics for four key performance indicators: ENA use extent, enablers and barriers to use, the ENA's influence on user behavior, and overall acceptability. We performed an evaluation study combining system data and data from a survey of 4061 respondents conducted in April 2022. A sentiment analysis was performed on open-ended responses. Results: Koronavilkku ENA peak coverage reached approximately 53% of active smartphone users shortly after launch. Use declined over time, particularly among individuals diagnosed with COVID-19. User engagement remained high-among ENA users who received a token, the proportion that entered their token into the ENA was more than 50% during the whole study period. Males, individuals older than 34 years, and those living alone were less likely to use the ENA, while those with higher education and households with children were more likely to be ENA users. Almost 70% (64,642/94,280) of SARS-CoV-2-positive users reported not receiving a token from health authorities. Users reported higher adherence to pandemic guidance than nonusers, with prevalence ratios ranging from 1.24 (95% CI 1.19-1.29) to 1.65 (95% CI 1.45-1.91). Descriptive analyses suggested higher reported adherence among partially compliant users after exposure notifications, whereas little change was observed among noncompliant individuals. Overall acceptability was relatively high, with 68% of respondents using it at least once. However, 49% of those users eventually discontinued use. Our sentiment analysis of open-ended feedback suggests that users expressed more positive attitudes toward the ENA compared to nonusers. However, a substantial portion of the feedback reflected neutral or negative sentiments. Conclusions: Based on observed ENA use trends, we recommend maintaining long-term public interest and engagement in ENAs during prolonged emergencies. Tailored communication should be developed encouraging uptake among demographic groups with lower adoption rates. Initial studies during app rollout could inform these strategies. A major barrier to the ENA's performance was token issuance; earlier and more systematic automation of token distribution in Finland could have enabled more timely exposure notifications and reduced bottlenecks. Future ENAs should define evaluation criteria during development, with periodic assessments measuring effectiveness and informing improvements. A deeper analysis of open-ended feedback provided for the Koronavilkku ENA using advanced language models could provide additional insights into user perceptions and concerns. By addressing these areas, future digital contact tracing tools may improve uptake, acceptability, and integration into pandemic response efforts.

Indexed as

Contact TracingCOVID-19Mobile ApplicationsAdultCross-Sectional StudiesFemaleFinlandHumansMaleMedia ExposureMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesCOVID-19cross-sectionaldigital healthFinlandmobile apppandemicpreparedness

Identifiers

PMID42766493
PMCPMC13592390

What OpenQuestion holds

Textmetadata
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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.