Applying molecular algorithms to predict decreased susceptibility to ceftriaxone from a report of strains of Neisseria gonorrhoeae in Amsterdam, the Netherlands
| Verfasser: | |
|---|---|
| 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-29158508 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://escholarship.org/uc/item/5x97p156 |
