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Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II

In part II, we analyze our stochastic model which incorporates microenvironmental noises and uncertainties related to immune responses. Outcomes of the therapy in our model are largely determined by the infectivity constant, the infection value, and stochastic relative immune clearance rates. The in...

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Autores principales: Phan, Tuan Anh, Tian, Jianjun Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062412/
https://www.ncbi.nlm.nih.gov/pubmed/37008889
http://dx.doi.org/10.1016/j.jmaa.2022.126444
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author Phan, Tuan Anh
Tian, Jianjun Paul
author_facet Phan, Tuan Anh
Tian, Jianjun Paul
author_sort Phan, Tuan Anh
collection PubMed
description In part II, we analyze our stochastic model which incorporates microenvironmental noises and uncertainties related to immune responses. Outcomes of the therapy in our model are largely determined by the infectivity constant, the infection value, and stochastic relative immune clearance rates. The infection value is a universal critical value for immune-free ergodic invariant probability measures and persistence in all cases. Asymptotic behaviors of the stochastic model are similar to those of its deterministic counterpart. Our stochastic model displays an interesting dynamical behavior, stochastic Hopf bifurcation without parameters, which is a new phenomenon. We perform numerical study to demonstrate how stochastic Hopf bifurcation without parameters occurs. In addition, we give biological implications about our analytical results in stochastic setting versus deterministic setting.
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spelling pubmed-100624122023-03-30 Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II Phan, Tuan Anh Tian, Jianjun Paul J Math Anal Appl Article In part II, we analyze our stochastic model which incorporates microenvironmental noises and uncertainties related to immune responses. Outcomes of the therapy in our model are largely determined by the infectivity constant, the infection value, and stochastic relative immune clearance rates. The infection value is a universal critical value for immune-free ergodic invariant probability measures and persistence in all cases. Asymptotic behaviors of the stochastic model are similar to those of its deterministic counterpart. Our stochastic model displays an interesting dynamical behavior, stochastic Hopf bifurcation without parameters, which is a new phenomenon. We perform numerical study to demonstrate how stochastic Hopf bifurcation without parameters occurs. In addition, we give biological implications about our analytical results in stochastic setting versus deterministic setting. 2022-11-15 2022-06-23 /pmc/articles/PMC10062412/ /pubmed/37008889 http://dx.doi.org/10.1016/j.jmaa.2022.126444 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Phan, Tuan Anh
Tian, Jianjun Paul
Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title_full Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title_fullStr Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title_full_unstemmed Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title_short Hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part II
title_sort hopf bifurcation without parameters in deterministic and stochastic modeling of cancer virotherapy, part ii
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062412/
https://www.ncbi.nlm.nih.gov/pubmed/37008889
http://dx.doi.org/10.1016/j.jmaa.2022.126444
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