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: We performed modelling on longitudinal, self-reported data from users...

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Detalhes bibliográficos
Publicado no:medRxiv
Main Authors: Varsavsky, Thomas, Graham, Mark S., Canas, Liane S., Ganesh, Sajaysurya, Pujol, Joan Capdevila, Sudre, Carole H., Murray, Benjamin, Modat, Marc, Cardoso, M. Jorge, 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: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7605586/
https://ncbi.nlm.nih.gov/pubmed/33140073
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/2020.10.26.20219659
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