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A population-based controlled experiment assessing the epidemiological impact of digital contact tracing

Authors: Rodríguez-García, Jorge Pablo; Graña, Santiago; Álvarez-León, Eva Elisa; Battaglini, Manuela; Darias, Francisco Javier; Hernán, Miguel A.; López, Raquel; +9 Authors

A population-based controlled experiment assessing the epidemiological impact of digital contact tracing

Abstract

AbstractWhile Digital contact tracing (DCT) has been argued to be a valuable complement to manual tracing in the containment of COVID-19, no empirical evidence of its effectiveness is available to date. Here, we report the results of a 4-week population-based controlled experiment that took place in La Gomera (Canary Islands, Spain) between June and July 2020, where we assessed the epidemiological impact of the Spanish DCT app Radar Covid. After a substantial communication campaign, we estimate that at least 33% of the population adopted the technology and further showed relatively high adherence and compliance as well as a quick turnaround time. The app detects about 6.3 close-contacts per primary simulated infection, a significant percentage being contacts with strangers, although the spontaneous follow-up rate of these notified cases is low. Overall, these results provide experimental evidence of the potential usefulness of DCT during an epidemic outbreak in a real population.

Countries
United Kingdom, Spain
Keywords

Adult, Male, Adolescent, Computer science Viral infection, Science, 610, General Physics and Astronomy, 613, General Biochemistry, Genetics and Molecular Biology, Article, Young Adult, Age Distribution, Surveys and Questionnaires, Humans, Longitudinal Studies, Pandemics, SARS-CoV-2, Q, COVID-19, General Chemistry, Middle Aged, Computer science, Mobile Applications, Viral infection, Privacy, Spain, Patient Compliance, Female, Smartphone, Contact Tracing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
112
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Top 10%
Top 1%
52
142
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gold