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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Bibliografski detalji
Izdano u:medRxiv
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Cold Spring Harbor Laboratory 2020
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Article
Online pristup: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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