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The epidemiological impact of the NHS COVID-19 App
Chris Wymant, Luca Ferretti, Daphne Tsallis, Marcos
Charalambides, Lucie Abeler-Dörner, David Bonsall, Robert Hinch,
Michelle Kendall, Luke Milsom, Matthew Ayres, Chris Holmes, Mark
Briers & Christophe Fraser
Nature (2021)
Abstract
The COVID-19 pandemic has seen digital contact tracing emerge around
the world to help prevent spread of the disease. A mobile phone app
records proximity events between app users, and when a user tests
positive for COVID-19, their recent contacts can be notified
instantly. Theoretical evidence has supported this new public health
intervention1–6, but its epidemiological impact has remained
uncertain7. Here we investigated the impact of the NHS COVID-19 app
for England and Wales, from its launch on 24 September 2020 through
to the end of December 2020. It was used regularly by approximately
16.5 million users (28% of the total population), and sent
approximately 1.7 million exposure notifications: 4.4 per index case
consenting to contact tracing. We estimated that the fraction of
app-notified individuals subsequently showing symptoms and testing
positive (the secondary attack rate, SAR) was 6.0%, comparable to
the SAR for manually traced close contacts. We estimated the number
of cases averted by the app using two complementary approaches.
Modelling based on the notifications and SAR gave 284,000
(108,000-450,000), and statistical comparison of matched
neighbouring local authorities gave 594,000 (317,000-914,000).
Roughly one case was averted for each case consenting to
notification of their contacts. We estimated that for every
percentage point increase in app users, the number of cases can be
reduced by 0.8% (modelling) or 2.3% (statistical analysis). These
findings provide evidence for continued development and deployment
of such apps in populations that are awaiting full protection from
vaccines.
https://www.nature.com/articles/s41586-021-03606-z