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A computational model to monitor and predict trends in bacterial resistance
Current concern over the emergence of multidrug-resistant superbugs has renewed interest in approaches that can monitor existing trends in bacterial resistance and make predictions of future trends. Recent advances in bacterial surveillance and the development of online repositories of susceptibilit...
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| Pubblicato in: | J Glob Antimicrob Resist |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4666607/ https://ncbi.nlm.nih.gov/pubmed/26640775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jgar.2015.04.006 |
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