Analysis of a multiple delays model for treatment of cancer with oncolytic virotherapy

DOI10.1155/2019/1732815zbMath1423.92083OpenAlexW2977873832WikidataQ90992160 ScholiaQ90992160MaRDI QIDQ2332518

Adil El Alami Laaroussi, Mostafa Rachik, Rachid Ghazzali, Mohamed El Hia

Publication date: 4 November 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/1732815

zbMATH Keywords

oncolytic virotherapycancer treatmentmultiple delays model

Mathematics Subject Classification ID

Bifurcation theory for ordinary differential equations (34C23) Medical applications (general) (92C50) Global stability of solutions to ordinary differential equations (34D23)

Related Items (1)

Combination of virotherapy and chemotherapy with optimal control for combating cancer

Cites Work

• Unnamed Item
• Computational modeling approaches to studying the dynamics of oncolytic viruses
• Lytic cycle: A defining process in oncolytic virotherapy
• Modeling and analysis of a virus that replicates selectively in tumor cells
• Hopf bifurcation analysis in a delayed system for cancer virotherapy
• Modeling of cancer virotherapy with recombinant measles viruses
• Analysis of a model of a virus that replicates selectively in tumor cells
• The replicability of oncolytic virus: defining conditions in tumor virotherapy
• A mathematical model of oncolytic virotherapy with time delay
• A mathematical model for cell cycle-specific cancer virotherapy

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