The stability and random attractors of the stochastic model describing the oncolytic virotherapy with tumor-virus interactions
Abstract
The treatment of cancer tumors varies based on cancer type, stage, location, and patient health. This research focuses on viral therapy, which employs viruses that target and eliminate malignant cells while sparing healthy ones. A stochastic model investigates suicidal viral tumor therapy, emphasizing the interaction between tumorous and non-tumorous cells. The study analyzes the stochastic dynamics and stability of the system's equilibrium points through stochastic differential equations. Key model factors affecting viral treatment outcomes are identified through bifurcation parameters and sensitivity analysis, validated by numerical simulation.
- Published
- 13 February 2026
- Volume
- 2026 (2026)
- License
- CC BY 3.0
Copyright © 2026 Khanssa Kadhim Hashim, Ihsan Jabbar Kadhim. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
K. K. Hashim, I. J. Kadhim, The stability and random attractors of the stochastic model describing the oncolytic virotherapy with tumor-virus interactions, Commun. Math. Biol. Neurosci. 2026 (2026), 16. https://doi.org/10.28919/cmbn/9706
BibTeX
@article{Hashim2026,
author = {Hashim, Khanssa Kadhim and Kadhim, Ihsan Jabbar},
title = {The stability and random attractors of the stochastic model describing the oncolytic virotherapy with tumor-virus interactions},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2026},
year = {2026},
pages = {16},
doi = {10.28919/cmbn/9706}
}