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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محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:medRxiv
المؤلفون الرئيسيون: 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
التنسيق: Artigo
اللغة:Inglês
منشور في: Cold Spring Harbor Laboratory 2020
الموضوعات:
Article
الوصول للمادة أونلاين: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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