Applying molecular algorithms to predict decreased susceptibility to ceftriaxone from a report of strains of Neisseria gonorrhoeae in Amsterdam, the Netherlands
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2022 |
Reihe/Periodikum: | Journal of Antimicrobial Chemotherapy, vol 77, iss 2 |
Verlag/Hrsg.: |
eScholarship
University of California |
Schlagwörter: | Biomedical and Clinical Sciences / Clinical Sciences / Algorithms / Anti-Bacterial Agents / Ceftriaxone / Gonorrhea / Humans / Microbial Sensitivity Tests / Neisseria gonorrhoeae / Netherlands / Microbiology / Medical Microbiology / Pharmacology and Pharmaceutical Sciences |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-26791877 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://escholarship.org/uc/item/5x97p156 |