Dynamics of Tumor-Immune System with Random Noise
With deterministic differential equations, we can understand the dynamics of tumor-immune interactions. Cancer-immune interactions can, however, be greatly disrupted by random factors, such as physiological rhythms, environmental factors, and cell-to-cell communication. The present study introduces...
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2021
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oai:doaj.org-article:59f623a477c747c3906853f57904fc5e2021-11-11T18:16:00ZDynamics of Tumor-Immune System with Random Noise10.3390/math92127072227-7390https://doaj.org/article/59f623a477c747c3906853f57904fc5e2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2707https://doaj.org/toc/2227-7390With deterministic differential equations, we can understand the dynamics of tumor-immune interactions. Cancer-immune interactions can, however, be greatly disrupted by random factors, such as physiological rhythms, environmental factors, and cell-to-cell communication. The present study introduces a stochastic differential model in infectious diseases and immunology of the dynamics of a tumor-immune system with random noise. Stationary ergodic distribution of positive solutions to the system is investigated in which the solution fluctuates around the equilibrium of the deterministic case and causes the disease to persist stochastically. In some conditions, it may be possible to attain infection-free status, where diseases die out exponentially with a probability of one. Some numerical simulations are conducted with the Euler–Maruyama scheme in order to verify the results. White noise intensity is a key factor in treating infectious diseases.Fathalla A. RihanChinnathambi RajivganthiMDPI AGarticleinfectious diseasescancer-immune systemsteady statesrandom noisestochastic differential equationsMathematicsQA1-939ENMathematics, Vol 9, Iss 2707, p 2707 (2021) |
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infectious diseases cancer-immune system steady states random noise stochastic differential equations Mathematics QA1-939 |
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infectious diseases cancer-immune system steady states random noise stochastic differential equations Mathematics QA1-939 Fathalla A. Rihan Chinnathambi Rajivganthi Dynamics of Tumor-Immune System with Random Noise |
description |
With deterministic differential equations, we can understand the dynamics of tumor-immune interactions. Cancer-immune interactions can, however, be greatly disrupted by random factors, such as physiological rhythms, environmental factors, and cell-to-cell communication. The present study introduces a stochastic differential model in infectious diseases and immunology of the dynamics of a tumor-immune system with random noise. Stationary ergodic distribution of positive solutions to the system is investigated in which the solution fluctuates around the equilibrium of the deterministic case and causes the disease to persist stochastically. In some conditions, it may be possible to attain infection-free status, where diseases die out exponentially with a probability of one. Some numerical simulations are conducted with the Euler–Maruyama scheme in order to verify the results. White noise intensity is a key factor in treating infectious diseases. |
format |
article |
author |
Fathalla A. Rihan Chinnathambi Rajivganthi |
author_facet |
Fathalla A. Rihan Chinnathambi Rajivganthi |
author_sort |
Fathalla A. Rihan |
title |
Dynamics of Tumor-Immune System with Random Noise |
title_short |
Dynamics of Tumor-Immune System with Random Noise |
title_full |
Dynamics of Tumor-Immune System with Random Noise |
title_fullStr |
Dynamics of Tumor-Immune System with Random Noise |
title_full_unstemmed |
Dynamics of Tumor-Immune System with Random Noise |
title_sort |
dynamics of tumor-immune system with random noise |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/59f623a477c747c3906853f57904fc5e |
work_keys_str_mv |
AT fathallaarihan dynamicsoftumorimmunesystemwithrandomnoise AT chinnathambirajivganthi dynamicsoftumorimmunesystemwithrandomnoise |
_version_ |
1718431887103361024 |