App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden

App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden

The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance. We enrolled 143,531 study participants (≥18 years) who contributed 10.6 million daily symptom reports between April 29, 2020 and February 10, 2021. Here, we include data from 19,1...

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Bibliographic Details
Main Authors: Adami, H.-O (Author), Björk, J. (Author), Chan, A.T (Author), Davies, R. (Author), du Cadet, J.L (Author), Engblom, S. (Author), Fall, K. (Author), Fall, T. (Author), Fitipaldi, H. (Author), Franks, C.A (Author), Franks, P.W (Author), Ganesh, S. (Author), Gomez, M.F (Author), Graham, M.S (Author), Grimby-Ekman, A. (Author), Hammar, U. (Author), Kennedy, B. (Author), Litton, J.-E (Author), Martinell, M. (Author), May, A. (Author), Maziarz, M. (Author), Nguyen, D. (Author), Oskolkov, N. (Author), Oudin, A. (Author), Ourselin, S. (Author), Pujol, J.C (Author), Selvachandran, S. (Author), Sjöström, T. (Author), Spector, T.D (Author), Spiliopoulos, L. (Author), Steves, C.J (Author), Sudre, C.H (Author), Timpka, T. (Author), Tsereteli, N. (Author), Varotsis, G. (Author), Wolf, J. (Author)
Format: Article
Language:English
Published: Nature Research 2022
Subjects:
COVID-19
hospital sector
probability
public health
spatiotemporal analysis
Sweden
symptom
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