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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Mathematical Methods...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Mathematical Methods in the Applied Sciences
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2020
Data sources: zbMATH Open
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Multi‐drug antimicrobial resistance model

Multi-drug antimicrobial resistance model
Authors: Mohammed Fathy Elettreby; Elsayed Ahmed;

Multi‐drug antimicrobial resistance model

Abstract

In this paper, we give a simple mathematical model for a multi‐drug antimicrobial resistance. The model describes the dynamics of the susceptible and three classes of infected populations. The first class of the infected society is sensitive to the first antimicrobial drug but resisted to the second drug. The other infected community responds to the second antimicrobial drug but resistant to the first drug, and the third class shows resistance to both of the two drugs. The stability conditions of the multi‐drug antimicrobial resistance equilibrium states are derived. Also, we illustrated the analytical results by some numerical simulations. Finally, we used the multiobjective optimization approach to find the minimum doses of antimicrobial drugs.

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Keywords

infectious, drug resistance, Epidemiology, Qualitative investigation and simulation of ordinary differential equation models, Topological structure of integral curves, singular points, limit cycles of ordinary differential equations, multiobjective optimization, Stability of solutions to ordinary differential equations, susceptible

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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!
4
Top 10%
Average
Average
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