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The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications
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Leng, Trystan, Hill, Edward M., Keeling, Matt J., Tildesley, Michael J. and Thompson, Robin N. (2022) The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications. Communications Medicine, 2 . 74. doi:10.1038/s43856-022-00143-2
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Official URL: https://doi.org/10.1038/s43856-022-00143-2
Abstract
Background
The reduction in SARS-CoV-2 transmission facilitated by mobile contact tracing applications (apps) depends both on the proportion of relevant contacts notified and on the probability that those contacts quarantine after notification. The proportion of relevant contacts notified depends upon the number of days preceding an infector’s positive test that their contacts are notified, which we refer to as an app’s notification window.
Methods
We use an epidemiological model of SARS-CoV-2 transmission that captures the profile of infection to consider the trade-off between notification window length and active app use. We focus on 5-day and 2-day windows, the notification windows of the NHS COVID-19 app in England and Wales before and after 2nd August 2021, respectively.
Results
Our analyses show that at the same level of active app use, 5-day windows result in larger reductions in transmission than 2-day windows. However, short notification windows can be more effective at reducing transmission if they are associated with higher levels of active app use and adherence to isolation upon notification.
Conclusions
Our results demonstrate the importance of understanding adherence to interventions when setting notification windows for COVID-19 contact tracing apps.
| Item Type: | Journal Article | ||||||||||||||||||
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| Subjects: | R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine | ||||||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Mathematics |
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| Library of Congress Subject Headings (LCSH): | COVID-19 (Disease) -- Epidemiology -- Data processing, Contact tracing (Epidemiology), Mobile apps | ||||||||||||||||||
| Journal or Publication Title: | Communications Medicine | ||||||||||||||||||
| Publisher: | Springer Nature | ||||||||||||||||||
| ISSN: | 2730-664X | ||||||||||||||||||
| Official Date: | 27 June 2022 | ||||||||||||||||||
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| Volume: | 2 | ||||||||||||||||||
| Article Number: | 74 | ||||||||||||||||||
| DOI: | 10.1038/s43856-022-00143-2 | ||||||||||||||||||
| Status: | Peer Reviewed | ||||||||||||||||||
| Publication Status: | Published | ||||||||||||||||||
| Access rights to Published version: | Open Access | ||||||||||||||||||
| RIOXX Funder/Project Grant: |
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