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The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications
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 u...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237034/ https://www.ncbi.nlm.nih.gov/pubmed/35774530 http://dx.doi.org/10.1038/s43856-022-00143-2 |
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author | Leng, Trystan Hill, Edward M. Keeling, Matt J. Tildesley, Michael J. Thompson, Robin N. |
author_facet | Leng, Trystan Hill, Edward M. Keeling, Matt J. Tildesley, Michael J. Thompson, Robin N. |
author_sort | Leng, Trystan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9237034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92370342022-06-29 The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications Leng, Trystan Hill, Edward M. Keeling, Matt J. Tildesley, Michael J. Thompson, Robin N. Commun Med (Lond) Article 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. Nature Publishing Group UK 2022-06-27 /pmc/articles/PMC9237034/ /pubmed/35774530 http://dx.doi.org/10.1038/s43856-022-00143-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Leng, Trystan Hill, Edward M. Keeling, Matt J. Tildesley, Michael J. Thompson, Robin N. The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title | The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title_full | The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title_fullStr | The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title_full_unstemmed | The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title_short | The effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile applications |
title_sort | effect of notification window length on the epidemiological impact of covid-19 contact tracing mobile applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237034/ https://www.ncbi.nlm.nih.gov/pubmed/35774530 http://dx.doi.org/10.1038/s43856-022-00143-2 |
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