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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Autores principales: Fathalla A. Rihan, Chinnathambi Rajivganthi
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/59f623a477c747c3906853f57904fc5e
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic infectious diseases
cancer-immune system
steady states
random noise
stochastic differential equations
Mathematics
QA1-939
spellingShingle 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
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