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Nature Reviews Microbiology
Article . 2017 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
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Diagnosing antimicrobial resistance

Authors: Burnham, Carey-Ann D; Leeds, Jennifer; Nordmann, Patrice; O'Grady, Justin; Patel, Jean;

Diagnosing antimicrobial resistance

Abstract

Antimicrobial resistance constitutes a global burden and is one of the major threats to public health. Although the emergence of resistant microorganisms is a natural phenomenon, the overuse or inappropriate use of antimicrobials has had a great effect on resistance evolution. Rapid diagnostic tests that identify drug-resistant bacteria, determine antimicrobial susceptibility and distinguish viral from bacterial infections can guide effective treatment strategies. Moreover, rapid diagnostic tests could facilitate epidemiological surveillance, as emerging resistant infectious agents and transmission can be monitored. In this Viewpoint article, several experts in the field discuss the drawbacks of current diagnostic methods that are used to identify antimicrobial resistance, novel diagnostic strategies and how such rapid tests can inform drug development and the surveillance of resistance evolution.

Countries
United Kingdom, Switzerland
Keywords

Bacteria, Drug Resistance, Multiple, Bacterial, 616, 610, Humans, Bacterial Infections, Anti-Bacterial Agents

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    184
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
184
Top 1%
Top 10%
Top 1%
Green
bronze