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How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19

Pandl, Konstantin D. 1; Thiebes, Scott 1; Schmidt-Kraepelin, Manuel 1; Sunyaev, Ali 1
1 Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB), Karlsruher Institut für Technologie (KIT)

To combat the COVID-19 pandemic, many countries around the globe have adopted digital contact tracing apps. Various technologies exist to trace contacts that are potentially prone to different types of tracing errors. Here, we study the impact of different proximity detection ranges on the effectiveness and efficiency of digital contact tracing apps. Furthermore, we study a usage stop effect induced by a false positive quarantine. Our results reveal that policy makers should adjust digital contact tracing apps to the behavioral characteristics of a society. Based on this, the proximity detection range should at least cover the range of a disease spread, and be much wider in certain cases. The widely used Bluetooth Low Energy protocol may not necessarily be the most effective technology for contact tracing.

Verlagsausgabe §
DOI: 10.5445/IR/1000132395
Veröffentlicht am 05.05.2021
DOI: 10.1038/s41598-021-88768-6
Zitationen: 5
Web of Science
Zitationen: 2
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 05.2021
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000132395
Erschienen in Scientific reports
Verlag Nature Research
Band 11
Heft 1
Seiten Art.-Nr.: 9414
Vorab online veröffentlicht am 03.05.2021
Schlagwörter Biomedical engineering Computer science Electrical and electronic engineering Health policy Information technology
Nachgewiesen in Dimensions
Web of Science
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