Dynamics of tumor virotherapy: A deterministic and stochastic model approach
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Publication:2814783
DOI10.1080/07362994.2016.1150187zbMath1343.92229OpenAlexW2338855107MaRDI QIDQ2814783
Kwang Su Kim, Il Hyo Jung, Sangil Kim
Publication date: 23 June 2016
Published in: Stochastic Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07362994.2016.1150187
basic reproduction ratiodeterministic differential equationcancer-viral therapystochastic differential model
Medical applications (general) (92C50) Global stability of solutions to ordinary differential equations (34D23)
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Cites Work
- Bifurcation analysis in a model of cytotoxic T-lymphocyte response to viral infections
- Stochastic models for virus and immune system dynamics
- Mathematical model creation for cancer chemo-immunotherapy
- Stability by Liapunov's direct method. With applications
- Modeling of cancer virotherapy with recombinant measles viruses
- Dynamics of HIV infection of CD4\(^ +\) T cells
- Optimal treatment strategies derived from a HIV model with drug-resistant mutants
- Mathematical modeling of cancer radiovirotherapy
- A Nonlinear Mathematical Model of Virus-Tumor-Immune System Interaction: Deterministic and Stochastic Analysis
- Mathematical Analysis of HIV-1 Dynamics in Vivo
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