How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
Abstract 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...
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Nature Portfolio
2021
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oai:doaj.org-article:5070ed89196145e0aa4da5d3386a6b452021-12-02T16:51:31ZHow detection ranges and usage stops impact digital contact tracing effectiveness for COVID-1910.1038/s41598-021-88768-62045-2322https://doaj.org/article/5070ed89196145e0aa4da5d3386a6b452021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88768-6https://doaj.org/toc/2045-2322Abstract 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.Konstantin D. PandlScott ThiebesManuel Schmidt-KraepelinAli SunyaevNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
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Medicine R Science Q Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
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Abstract 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. |
format |
article |
author |
Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev |
author_facet |
Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev |
author_sort |
Konstantin D. Pandl |
title |
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
title_short |
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
title_full |
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
title_fullStr |
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
title_full_unstemmed |
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 |
title_sort |
how detection ranges and usage stops impact digital contact tracing effectiveness for covid-19 |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/5070ed89196145e0aa4da5d3386a6b45 |
work_keys_str_mv |
AT konstantindpandl howdetectionrangesandusagestopsimpactdigitalcontacttracingeffectivenessforcovid19 AT scottthiebes howdetectionrangesandusagestopsimpactdigitalcontacttracingeffectivenessforcovid19 AT manuelschmidtkraepelin howdetectionrangesandusagestopsimpactdigitalcontacttracingeffectivenessforcovid19 AT alisunyaev howdetectionrangesandusagestopsimpactdigitalcontacttracingeffectivenessforcovid19 |
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1718382914806218752 |