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1 Ergebnisse
1
Dataflow of data in COVID radar:
Willian J. van Dijk (11053777)
;
Nicholas H. Saadah (11053780)
;
Mattijs E. Numans (8807591)
...
https://figshare.com/articles/figure/Dataflow_of_data_in_COVID_radar_/14886796. , 2021
Link:
https://doi.org/10.1371/journal.pone.0253566.s002
RT Journal T1
Dataflow of data in COVID radar
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_14886796&Exemplar=1&LAN=DE A1 Willian J. van Dijk (11053777) A1 Nicholas H. Saadah (11053780) A1 Mattijs E. Numans (8807591) A1 Jiska J. Aardoom (11053783) A1 Tobias N. Bonten (11053786) A1 Menno Brandjes (11053789) A1 Michelle Brust (11004546) A1 Saskia le Cessie (63838) A1 Niels H. Chavannes (8600232) A1 Rutger A. Middelburg (5634719) A1 Frits Rosendaal (2280142) A1 Leo G. Visser (10770056) A1 Jessica Kiefte-de Jong (3775987) YR 2021 K1 Medicine K1 Neuroscience K1 Biotechnology K1 Sociology K1 Cancer K1 Mental Health K1 Infectious Diseases K1 risk behavior increase K1 COVID -19 status K1 state-reported COVID -19 case numbers K1 COVID Radar K1 nationally-reported case counts K1 user engagement K1 Methods COVID Radar users K1 user-reported COVID -19 status K1 COVID RADAR app K1 symptom K1 Per-capita user-reported SARS-CoV -2 K1 SARS-CoV -2. Amongst users testing K1 COVID -19 hotspots K1 COVID Radar smartphone app K1 user-reported case counts K1 COVID -19 Background Monitoring K1 risk social-distancing behavior K1 SARS-CoV -2 test JF https://figshare.com/articles/figure/Dataflow_of_data_in_COVID_radar_/14886796 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0253566.s002 DO https://doi.org/10.1371/journal.pone.0253566.s002 SF ELIB - SuUB Bremen
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