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The diagnostic value of nasal microbiota and clinical parameters in a multi-parametric prediction model to differentiate bacterial versus viral infections in lower respiratory tract infections
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Yunlei Li,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology & Clinical Bioinformatics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
⨯ - Chantal B. van Houten,
- Stefan A. Boers,
- Ruud Jansen,
- Asi Cohen,
- Dan Engelhard,
- Robert Kraaij,
- Saskia D. Hiltemann,
- Jie Ju,
- David Fernández,
- Cristian Mankoc,
- Eva González,
- Wouter J. de Waal,
- Karin M. de Winter-de Groot,
- Tom F. W. Wolfs,
- Pieter Meijers,
- Bart Luijk,
- Jan Jelrik Oosterheert,
- Sanjay U. C. Sankatsing,
- Aik W. J. Bossink,
- Michal Stein,
- Adi Klein,
- Jalal Ashkar,
- Ellen Bamberger,
- Isaac Srugo,
- Majed Odeh,
- Yaniv Dotan,
- Olga Boico,
- Liat Etshtein,
- Meital Paz,
- Roy Navon,
- Tom Friedman,
- Einav Simon,
- Tanya M. Gottlieb,
- Ester Pri-Or,
- Gali Kronenfeld,
- Kfir Oved,
- Eran Eden,
- Andrew P. Stubbs,
- Louis J. Bont,
- [ ... ],
- John P. Hays
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https://orcid.org/0000-0002-5697-1602
The diagnostic value of nasal microbiota and clinical parameters in a multi-parametric prediction model to differentiate bacterial versus viral infections in lower respiratory tract infections
- Yunlei Li,
- Chantal B. van Houten,
- Stefan A. Boers,
- Ruud Jansen,
- Asi Cohen,
- Dan Engelhard,
- Robert Kraaij,
- Saskia D. Hiltemann,
- Jie Ju,
- David Fernández
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- Published: April 18, 2022
- https://doi.org/10.1371/journal.pone.0267140