Predicting clinical resistance prevalence using sewage metagenomic data

Antibiotic resistance surveillance through regional and up-to-date testing of clinical isolates is a foundation for implementing effective empirical treatment. Surveillance data also provides an overview of geographical and temporal changes that are invaluable for guiding interventions. Still, due t...

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Detalles Bibliográficos
Autores principales: Karkman, Antti, Berglund, Fanny, Flach, Carl-Fredrik, Kristiansson, Erik, Larsson, D. G. Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692497/
https://www.ncbi.nlm.nih.gov/pubmed/33244050
http://dx.doi.org/10.1038/s42003-020-01439-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692497/
https://www.ncbi.nlm.nih.gov/pubmed/33244050
http://dx.doi.org/10.1038/s42003-020-01439-6

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