LAPSE:2020.1052
Published Article
LAPSE:2020.1052
Mathematical Model Describing HIV Infection with Time-Delayed CD4 T-Cell Activation
October 26, 2020
A mathematical model composed of two non-linear differential equations that describe the population dynamics of CD4 T-cells in the human immune system, as well as viral HIV viral load, is proposed. The invariance region is determined, classical equilibrium stability analysis is performed by using the basic reproduction number, and numerical simulations are carried out to illustrate stability results. Thereafter, the model is modified with a delay term, describing the time required for CD4 T-cell immunological activation. This generates a two-dimensional integro-differential system, which is transformed into a system with three ordinary differential equations. For the new model, equilibriums are determined, their local stability is examined, and results are studied by way of numerical simulation.
Keywords
delay differential equations, HIV, immune system, mathematical model
Suggested Citation
Toro-Zapata HD, Trujillo-Salazar CA, Carranza-Mayorga EM. Mathematical Model Describing HIV Infection with Time-Delayed CD4 T-Cell Activation. (2020). LAPSE:2020.1052
Author Affiliations
Toro-Zapata HD: Licenciatura en Matemáticas, Universidad del Quindío, Quindío 630004, Colombia [ORCID]
Trujillo-Salazar CA: Licenciatura en Matemáticas, Universidad del Quindío, Quindío 630004, Colombia [ORCID]
Carranza-Mayorga EM: Licenciatura en Matemáticas, Universidad del Quindío, Quindío 630004, Colombia [ORCID]
Journal Name
Processes
Volume
8
Issue
7
Article Number
E782
Year
2020
Publication Date
2020-07-04
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8070782, Publication Type: Journal Article
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LAPSE:2020.1052
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doi:10.3390/pr8070782
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Oct 26, 2020
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CC BY 4.0
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Oct 26, 2020
 
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Oct 26, 2020
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Original Submitter
Calvin Tsay
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