Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations
In this study, the mathematical model examined the dynamics between pathogen and specific immune system cells (memory T cells) for diseases such as chronic infection and cancer in which nonspecific immune system cells are inadequate to destroy the pathogen and has been suggested by using a system of...
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Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2018/7930603 |
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doaj-7d1fde8c28c64bf5bdfb4b7ac6ef41b62020-11-25T01:18:29ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182018-01-01201810.1155/2018/79306037930603Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential EquationsBahatdin Daşbaşı0Kayseri University, Faculty of Applied Sciences, TR-38039 Kayseri, TurkeyIn this study, the mathematical model examined the dynamics between pathogen and specific immune system cells (memory T cells) for diseases such as chronic infection and cancer in which nonspecific immune system cells are inadequate to destroy the pathogen and has been suggested by using a system of the fractional-order differential equation with multi-orders. Qualitative analysis of the proposed model reveals the equilibrium points giving important ideas about the proliferation of the pathogen and memory T cells. According to the results of this analysis, the possible scenarios are as follows: the absence of both pathogen and memory T cells, only the existence of pathogen, and the existence of both pathogen and memory T cells. The qualitative analysis of the proposed model has expressed the persistent situations of the disease where the memory T cells either do not be able to respond to the pathogen or continue to exist with the disease-causing pathogen in the host. Results of this analysis are supported by numerical simulations. In the simulations, the time-dependent size of the tumor population under the pressure of the memory T cells was tried to be estimated.http://dx.doi.org/10.1155/2018/7930603 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bahatdin Daşbaşı |
spellingShingle |
Bahatdin Daşbaşı Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations Computational and Mathematical Methods in Medicine |
author_facet |
Bahatdin Daşbaşı |
author_sort |
Bahatdin Daşbaşı |
title |
Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations |
title_short |
Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations |
title_full |
Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations |
title_fullStr |
Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations |
title_full_unstemmed |
Stability Analysis of Mathematical Model including Pathogen-Specific Immune System Response with Fractional-Order Differential Equations |
title_sort |
stability analysis of mathematical model including pathogen-specific immune system response with fractional-order differential equations |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2018-01-01 |
description |
In this study, the mathematical model examined the dynamics between pathogen and specific immune system cells (memory T cells) for diseases such as chronic infection and cancer in which nonspecific immune system cells are inadequate to destroy the pathogen and has been suggested by using a system of the fractional-order differential equation with multi-orders. Qualitative analysis of the proposed model reveals the equilibrium points giving important ideas about the proliferation of the pathogen and memory T cells. According to the results of this analysis, the possible scenarios are as follows: the absence of both pathogen and memory T cells, only the existence of pathogen, and the existence of both pathogen and memory T cells. The qualitative analysis of the proposed model has expressed the persistent situations of the disease where the memory T cells either do not be able to respond to the pathogen or continue to exist with the disease-causing pathogen in the host. Results of this analysis are supported by numerical simulations. In the simulations, the time-dependent size of the tumor population under the pressure of the memory T cells was tried to be estimated. |
url |
http://dx.doi.org/10.1155/2018/7930603 |
work_keys_str_mv |
AT bahatdindasbası stabilityanalysisofmathematicalmodelincludingpathogenspecificimmunesystemresponsewithfractionalorderdifferentialequations |
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1725142245412175872 |