Identification of Nonlinear Differential Systems for Bacteria Population Under Antibiotics Influence-Reference-Cited by-同舟云学术

Identification of Nonlinear Differential Systems for Bacteria Population Under Antibiotics Influence

Published:2017 Issue: Volume: Page:143-149
ISSN:2297-0215
Container-title:Trends in Mathematics
language:
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Author:

Serovajsky Simon,Azimov Anvar,Ilin Alexandr,Islamov Rinat,Kasenov Syrym,Lankina Marina,Nurseitov Danijar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-48812-7_19

Reference16 articles.

1. S. Gandra et al. Trends in antibiotic resistance among bacteria isolated from blood cultures using a large private laboratory network data in India: 2008–2014. Antimicrob. Resist. Infect. Control 4, 1 (2015)

2. D. Nichol et al. Steering evolution with sequential therapy to prevent the emergence of bacterial antibiotic resistance. PLOS Comput. Biol. 11 (9), e1004493 (2015). doi: 10.1371/journal.pcbi.1004493

3. European Centre for Disease Prevention and Control/European Medicines Agency. Annual epidemiological report, Antimicrobial resistance and healthcare-associated infections (2014), http://ecdc.europa.eu/en/publications/Publications/antimicrobial-resistance-annual-epidemiological-report.pdf . Accessed April 2015

4. R.J. Fair, Y. Tor. Antibiotics and bacterial resistance in the 21st century. Perspect. Medicin. Chem. 6, 25–64 (2014)

5. I.M. Gould. Antibiotic resistance: the perfect storm. Int. J. Antimicrob Agents 34, 3 (2009). doi: 10.1016/S0924-8579(09)70549-7

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