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Population Dynamics of Patients with Bacterial Resistance in Hospital Environment
Joint Authors
Gao, Xubin
Qu, Leilei
He, Mingfeng
Pan, Qiuhui
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
During the past decades, the increase of antibiotic resistance has become a major concern worldwide.
The researchers found that superbugs with new type of resistance genes (NDM-1) have two aspects of transmission characteristics; the first is that the antibiotic resistance genes can horizontally transfer among bacteria, and the other is that the superbugs can spread between humans through direct contact.
Based on these two transmission mechanisms, we study the dynamics of population in hospital environment where superbugs exist.
In this paper, we build three mathematic models to illustrate the dynamics of patients with bacterial resistance in hospital environment.
The models are analyzed using stability theory of differential equations.
Positive equilibrium points of the system are investigated and their stability analysis is carried out.
Moreover, the numerical simulation of the proposed model is also performed which supports the theoretical findings.
American Psychological Association (APA)
Qu, Leilei& Pan, Qiuhui& Gao, Xubin& He, Mingfeng. 2016. Population Dynamics of Patients with Bacterial Resistance in Hospital Environment. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100070
Modern Language Association (MLA)
Qu, Leilei…[et al.]. Population Dynamics of Patients with Bacterial Resistance in Hospital Environment. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1100070
American Medical Association (AMA)
Qu, Leilei& Pan, Qiuhui& Gao, Xubin& He, Mingfeng. Population Dynamics of Patients with Bacterial Resistance in Hospital Environment. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1100070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100070