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Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study

BACKGROUND: As many countries seek to slow the spread of COVID-19 without reimposing national restrictions, it has become important to track the disease at a local level to identify areas in need of targeted intervention. METHODS: In this prospective, observational study, we did modelling using long...

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Dettagli Bibliografici
Pubblicato in:Lancet Public Health
Autori principali: Varsavsky, Thomas, Graham, Mark S, Canas, Liane S, Ganesh, Sajaysurya, Capdevila Pujol, Joan, Sudre, Carole H, Murray, Benjamin, Modat, Marc, Jorge Cardoso, M, Astley, Christina M, Drew, David A, Nguyen, Long H, Fall, Tove, Gomez, Maria F, Franks, Paul W, Chan, Andrew T, Davies, Richard, Wolf, Jonathan, Steves, Claire J, Spector, Tim D, Ourselin, Sebastien
Natura: Artigo
Lingua:Inglês
Pubblicazione: The Author(s). Published by Elsevier Ltd. 2021
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7785969/
https://ncbi.nlm.nih.gov/pubmed/33278917
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S2468-2667(20)30269-3
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