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Dynamics of the tumor-immune-virus interactions: Convergence conditions to tumor-only or tumor-free equilibrium points
- Source :
- Mathematical Biosciences and Engineering. 16:421-437
- Publication Year :
- 2019
- Publisher :
- American Institute of Mathematical Sciences (AIMS), 2019.
-
Abstract
- In the present paper convergence dynamics of one tumor-immune-virus model is examined with help of the localization method of compact invariant sets and the LaSalle theorem. This model was elaborated by Eftimie et al. in 2016. It is shown that this model possesses the Lagrange stability property of positive half-trajectories and ultimate upper bounds for compact invariant sets are obtained. Conditions of convergence dynamics are found. It is explored the case when any trajectory is attracted to one of tumor-only equilibrium points or tumor-free equilibrium points. Further, it is studied ultimate dynamics of one modification of Eftimie et al. model in which the immune cells injection is included. This modified system possesses the global tumor cells eradication property if the influx rate of immune cells exceeds some value which is estimated. Main results are expressed in terms simple algebraic inequalities imposed on model and treatment parameters.
- Subjects :
- Entropy
Tumor cells
02 engineering and technology
Treatment parameters
Models, Biological
Quantitative Biology::Cell Behavior
Lasalle theorem
Immune system
Neoplasms
0502 economics and business
0202 electrical engineering, electronic engineering, information engineering
Humans
Applied mathematics
Algebraic number
Invariant (mathematics)
Lagrange stability
Mathematics
Equilibrium point
Applied Mathematics
05 social sciences
General Medicine
Computational Mathematics
Virus Diseases
Immune System
Modeling and Simulation
020201 artificial intelligence & image processing
Neural Networks, Computer
General Agricultural and Biological Sciences
Algorithms
050203 business & management
Subjects
Details
- ISSN :
- 15510018
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences and Engineering
- Accession number :
- edsair.doi.dedup.....107595e4e0fe877a27cf4495187fcb71
- Full Text :
- https://doi.org/10.3934/mbe.2019020