Comparison of Stochastic and Random Models for Bacterial Resistance

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2017-05

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Springer International Publishing Ag

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GOLD

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Yes

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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

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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

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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.

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Advances In Difference Equations

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2017

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