Literature DB >> 33979832

The epidemiological impact of the NHS COVID-19 app.

Chris Wymant1, Luca Ferretti1, Daphne Tsallis2, Marcos Charalambides3, Lucie Abeler-Dörner1, David Bonsall1, Robert Hinch1, Michelle Kendall1,4, Luke Milsom5, Matthew Ayres3, Chris Holmes1,3,6, Mark Briers3, Christophe Fraser7.   

Abstract

The COVID-19 pandemic has seen the emergence of digital contact tracing to help to prevent the 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 investigate the impact of the National Health Service (NHS) COVID-19 app for England and Wales, from its launch on 24 September 2020 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: 4.2 per index case consenting to contact tracing. We estimated that the fraction of individuals notified by the app who subsequently showed symptoms and tested positive (the secondary attack rate (SAR)) was 6%, similar 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 an estimate of 284,000 (central 95% range of sensitivity analyses 108,000-450,000), and statistical comparison of matched neighbouring local authorities gave an estimate of 594,000 (95% confidence interval 317,000-914,000). Approximately one case was averted for each case consenting to notification of their contacts. We estimated that for every percentage point increase in app uptake, the number of cases could be reduced by 0.8% (using modelling) or 2.3% (using statistical analysis). These findings support the continued development and deployment of such apps in populations that are awaiting full protection from vaccines.

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Year:  2021        PMID: 33979832     DOI: 10.1038/s41586-021-03606-z

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  1 in total

1.  Early evidence of effectiveness of digital contact tracing for SARS-CoV-2 in Switzerland.

Authors:  Marcel Salathé; Christian Althaus; Nanina Anderegg; Daniele Antonioli; Tala Ballouz; Edouard Bugnon; Srdjan Čapkun; Dennis Jackson; Sang-Il Kim; Jim Larus; Nicola Low; Wouter Lueks; Dominik Menges; Cédric Moullet; Mathias Payer; Julien Riou; Theresa Stadler; Carmela Troncoso; Effy Vayena; Viktor von Wyl
Journal:  Swiss Med Wkly       Date:  2020-12-16       Impact factor: 2.193

  1 in total
  31 in total

1.  Contact-tracing app curbed the spread of COVID in England and Wales.

Authors:  C Jason Wang
Journal:  Nature       Date:  2021-05-25       Impact factor: 49.962

Review 2.  Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions.

Authors:  Uzoma Rita Alo; Friday Onwe Nkwo; Henry Friday Nweke; Ifeanyi Isaiah Achi; Henry Anayo Okemiri
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

3.  SARS-CoV-2 Seroprevalence in Germany.

Authors:  Daniela Gornyk; Manuela Harries; Stephan Glöckner; Monika Strengert; Tobias Kerrinnes; Jana-Kristin Heise; Henrike Maaß; Julia Ortmann; Barbora Kessel; Yvonne Kemmling; Berit Lange; Gérard Krause
Journal:  Dtsch Arztebl Int       Date:  2021-12-03       Impact factor: 5.594

Review 4.  Smartphone apps in the COVID-19 pandemic.

Authors:  Jay A Pandit; Jennifer M Radin; Giorgio Quer; Eric J Topol
Journal:  Nat Biotechnol       Date:  2022-06-20       Impact factor: 68.164

5.  "Immuni" and the National Health System: Lessons Learnt from the COVID-19 Digital Contact Tracing in Italy.

Authors:  Silvia Ussai; Marco Pistis; Eduardo Missoni; Beatrice Formenti; Benedetta Armocida; Tatiana Pedrazzi; Francesco Castelli; Lorenzo Monasta; Baldassare Lauria; Ilaria Mariani
Journal:  Int J Environ Res Public Health       Date:  2022-06-20       Impact factor: 4.614

6.  Epidemic management and control through risk-dependent individual contact interventions.

Authors:  Tapio Schneider; Oliver R A Dunbar; Jinlong Wu; Lucas Böttcher; Dmitry Burov; Alfredo Garbuno-Inigo; Gregory L Wagner; Sen Pei; Chiara Daraio; Raffaele Ferrari; Jeffrey Shaman
Journal:  PLoS Comput Biol       Date:  2022-06-23       Impact factor: 4.779

7.  The epidemiological impact of the Canadian COVID Alert app.

Authors:  Shuo Sun; Mairead Shaw; Erica E M Moodie; Derek Ruths
Journal:  Can J Public Health       Date:  2022-06-07

Review 8.  Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature.

Authors:  James O'Connell; Manzar Abbas; Sarah Beecham; Jim Buckley; Muslim Chochlov; Brian Fitzgerald; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; Michael O'Callaghan; Ian O'Keeffe; Abdul Razzaq; Kaavya Rekanar; Ita Richardson; Andrew Simpkin; Cristiano Storni; Damyanka Tsvyatkova; Jane Walsh; Thomas Welsh; Derek O'Keeffe
Journal:  JMIR Mhealth Uhealth       Date:  2021-06-07       Impact factor: 4.773

9.  Assessing personal exposure to COVID-19 transmission in public indoor spaces based on fine-grained trajectory data: A simulation study.

Authors:  Pengfei Chen; Dongchu Zhang; Jianxiao Liu; Izzy Yi Jian
Journal:  Build Environ       Date:  2022-05-04       Impact factor: 7.093

10.  Data-Driven Decision Making and Proactive Citizen-Scientist Communication: A Cross-Sectional Study on COVID-19 Vaccination Adherence.

Authors:  Emil Syundyukov; Martins Mednis; Linda Zaharenko; Eva Pildegovica; Ieva Danovska; Svjatoslavs Kistkins; Abraham Seidmann; Arriel Benis; Valdis Pirags; Lilian Tzivian
Journal:  Vaccines (Basel)       Date:  2021-11-24
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