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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.
  • Leng T; The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, UK.
  • Hill EM; JUNIPER-Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
  • Keeling MJ; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Tildesley MJ; The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, UK.
  • Thompson RN; JUNIPER-Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/.
Commun Med (Lond) ; 2: 74, 2022.
Article in English | MEDLINE | ID: covidwho-2186119
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.
RESUMEN
After submitting a positive SARS-CoV-2 test result, mobile contact-tracing apps identify 'recent' high-risk encounters with other app users, who are then notified of potential exposure. An app's success at limiting further transmission depends on the proportion of infected contacts notified. This depends on what counts as 'recent', e.g. notifying contacts from 5 days prior to the positive test can capture more infections than notifying contacts from 2 days prior. We call this number of days an app's notification window. However, an app's effectiveness also depends on whether or not exposed contacts use the app and adhere to isolation if notified. If shorter windows are associated with higher levels of active app use, they can be more effective at reducing transmission than longer windows, demonstrating the importance of considering the potential impact on active app use when setting an app's notification window length.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Commun Med (Lond) Year: 2022 Document Type: Article Affiliation country: S43856-022-00143-2

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Commun Med (Lond) Year: 2022 Document Type: Article Affiliation country: S43856-022-00143-2