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

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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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2021
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785969/
https://www.ncbi.nlm.nih.gov/pubmed/33278917
http://dx.doi.org/10.1016/S2468-2667(20)30269-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785969/
https://www.ncbi.nlm.nih.gov/pubmed/33278917
http://dx.doi.org/10.1016/S2468-2667(20)30269-3

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