A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance-Reference-Cited by-同舟云学术

A nonlinear time-series analysis approach to identify thresholds in associations between population antibiotic use and rates of resistance

Published:2019-04-08 Issue:7 Volume:4 Page:1160-1172
ISSN:2058-5276
Container-title:Nature Microbiology
language:en
Short-container-title:Nat Microbiol

Author:

López-Lozano José-María, ,Lawes Timothy^ORCID,Nebot César,Beyaert Arielle,Bertrand Xavier,Hocquet Didier,Aldeyab Mamoon,Scott Michael,Conlon-Bingham Geraldine,Farren David,Kardos Gábor,Fésűs Adina,Rodríguez-Baño Jesús,Retamar Pilar,Gonzalo-Jiménez Nieves,Gould Ian M.

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Microbiology (medical),Genetics,Applied Microbiology and Biotechnology,Immunology,Microbiology

Link

http://www.nature.com/articles/s41564-019-0410-0.pdf

Reference49 articles.

1. Laxminarayan, R. Antibiotic effectiveness: balancing conservation against innovation. Science 345, 1299–1301 (2014).

2. Laxminarayan, R. et al. Antibiotic resistance—the need for global solutions. Lancet Infect. Dis. 13, 1057–1098 (2013).

3. Drug-Resistant Infections: A Threat to Our Economic Future (Discussion Draft) (World Bank, 2016); http://pubdocs.worldbank.org/en/689381474641399486/1701381-AMR-Lab-Report-Web.pdf

4. O’Neill, J. Review on Antimicrobial Resistance: tackling a crisis for the health and wealth of nations (HM Government, 2014); https://amr-review.org/

5. Millar, M. Constraining the use of antibiotics: applying Scanlon’s contractualism. J. Med. Ethics 38, 465–469 (2012).

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