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Representing antibiotic relationships using measurements of efficacy against clinical isolates

Abstract:

Introduction. Antimicrobial resistance (AMR) is a worrying and confusing problem for both patients and medical professionals. It is often difficult for non-specialists to understand how different antibiotics are related to one another. Here, I use experimental data from hundreds of thousands of clinical isolates to infer relationships between antibiotics and represent them with simple diagrams. Methods. The minimum inhibitory concentration (MIC) of a bacterial isolate for a given antibiotic i...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.12688/wellcomeopenres.15304.3

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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Experimental Medicine
Role:
Author
ORCID:
0000-0001-7332-0820
Publisher:
F1000 Research Ltd
Journal:
Wellcome Open Research More from this journal
Volume:
4
Article number:
86
Publication date:
2020-09-17
Acceptance date:
2020-05-28
DOI:
EISSN:
2398-502X
Language:
English
Keywords:
Pubs id:
1147522
Local pid:
pubs:1147522
Deposit date:
2020-12-02

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