A model to identify individuals with a high probability of a SARS-CoV-2 infection - 18/03/21
Doi : 10.1016/j.jinf.2020.11.028
B. Kowall a, ⁎ 
, M. Nonnemacher a, B. Brune b, c, M. Brinkmann d, M. Dudda b, c, J. Böttcher e, B. Schmidt a, F. Standl a, S. Stolpe a, U. Dittmer f, KH Jöckel a, A. Stang a, g
, M. Nonnemacher a, B. Brune b, c, M. Brinkmann d, M. Dudda b, c, J. Böttcher e, B. Schmidt a, F. Standl a, S. Stolpe a, U. Dittmer f, KH Jöckel a, A. Stang a, g a Institute of Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany
b Medical Emergency Service of the City of Essen, Germany
c Department for Trauma, Hand and Reconstructive Surgery, University Hospital of Essen, Germany
d Center for Clinical Trials, University Hospital Essen, Germany
e Public Health Office of the City of Essen, Germany
f Institute for Virology, University Hospital Essen, Germany
g School of Public Health, Department of Epidemiology, Boston University, Boston, United States
⁎Corresponding author.
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© 2020
Publié par Elsevier Masson SAS.
Vol 82 - N° 3
P. e32-e34 - mars 2021 Retour au numéro
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