Global dynamics of SARS-CoV-2/cancer model with immune responses.
Appl Math Comput
; 408: 126364, 2021 Nov 01.
Article
in English
| MEDLINE | ID: covidwho-1225115
ABSTRACT
The world is going through a critical period due to a new respiratory disease called coronavirus disease 2019 (COVID-19). This disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Mathematical modeling is one of the most important tools that can speed up finding a drug or vaccine for COVID-19. COVID-19 can lead to death especially for patients having chronic diseases such as cancer, AIDS, etc. We construct a new within-host SARS-CoV-2/cancer model. The model describes the interactions between six compartments nutrient, healthy epithelial cells, cancer cells, SARS-CoV-2 virus particles, cancer-specific CTLs, and SARS-CoV-2-specific antibodies. We verify the nonnegativity and boundedness of its solutions. We outline all possible equilibrium points of the proposed model. We prove the global stability of equilibria by constructing proper Lyapunov functions. We do some numerical simulations to visualize the obtained results. According to our model, lymphopenia in COVID-19 cancer patients may worsen the outcomes of the infection and lead to death. Understanding dysfunctions in immune responses during COVID-19 infection in cancer patients could have implications for the development of treatments for this high-risk group.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
Topics:
Vaccines
Language:
English
Journal:
Appl Math Comput
Year:
2021
Document Type:
Article
Affiliation country:
J.amc.2021.126364
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