Comparison of Stochastic and Random Models for Bacterial Resistance
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Date
2017-05
Authors
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Publisher
Springer International Publishing Ag
Open Access Color
GOLD
Green Open Access
Yes
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0
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80
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No
Abstract
In this study, a mathematical model of bacterial resistance considering the immune system response and antibiotic therapy is examined under random conditions. A random model consisting of random differential equations is obtained by using the existing deterministic model. Similarly, stochastic effect terms are added to the deterministic model to form a stochastic model consisting of stochastic differential equations. The results from the random and stochastic models are also compared with the results of the deterministic model to investigate the behavior of the model components under random conditions.
[Merdan, Mehmet] Gumushane Univ, Dept Math Engn, Gumushane, Turkey; [Bekiryazici, Zafer] Recep Tayyip Erdogan Univ, Dept Math, TR-53100 Rize, Turkey; [Kesemen, Tulay] Karadeniz Tech Univ, Dept Math, Trabzon, Turkey; [Khaniyev, Tahir] TOBB Univ Econ & Technol, Dept Ind Engn, Ankara, Turkey
[Merdan, Mehmet] Gumushane Univ, Dept Math Engn, Gumushane, Turkey; [Bekiryazici, Zafer] Recep Tayyip Erdogan Univ, Dept Math, TR-53100 Rize, Turkey; [Kesemen, Tulay] Karadeniz Tech Univ, Dept Math, Trabzon, Turkey; [Khaniyev, Tahir] TOBB Univ Econ & Technol, Dept Ind Engn, Ankara, Turkey
Description
ORCID
Keywords
stochastic differential equation, random differential equation, Milstein scheme, Euler-Maruyama scheme, antibiotic resistance, antibiotic resistance, Stochastic differential equation, Antibiotic resistance, stochastic differential equation, random differential equation, Euler-Maruyama scheme, Random differential equation, Milstein scheme, QA1-939, Mathematics
Turkish CoHE Thesis Center URL
Fields of Science
0301 basic medicine, 0303 health sciences, 03 medical and health sciences
Citation
Merdan, M., Bekiryazici, Z., Kesemen, T., & Khaniyev, T. (2017). Comparison of stochastic and random models for bacterial resistance. Advances in Difference Equations, 2017(1), 133.
WoS Q
Q1
Scopus Q
N/A

OpenCitations Citation Count
16
Source
Advances In Difference Equations
Volume
2017
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CrossRef : 10
Scopus : 24
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Mendeley Readers : 15
SCOPUS™ Citations
24
checked on Dec 19, 2025
Web of Science™ Citations
24
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Page Views
780
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1.48932039
Sustainable Development Goals
15
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