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http://hdl.handle.net/10773/33016
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DC Field | Value | Language |
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dc.contributor.author | Allali, Karam | pt_PT |
dc.contributor.author | Harroudi, Sanaa | pt_PT |
dc.contributor.author | Torres, Delfim F. M. | pt_PT |
dc.date.accessioned | 2022-01-25T18:59:27Z | - |
dc.date.available | 2022-01-25T18:59:27Z | - |
dc.date.issued | 2022-03 | - |
dc.identifier.issn | 1937-1632 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10773/33016 | - |
dc.description.abstract | We propose and study a new mathematical model of the human immunodeficiency virus (HIV). The main novelty is to consider that the antibody growth depends not only on the virus and on the antibodies concentration but also on the uninfected cells concentration. The model consists of five nonlinear differential equations describing the evolution of the uninfected cells, the infected ones, the free viruses, and the adaptive immunity. The adaptive immune response is represented by the cytotoxic T-lymphocytes (CTL) cells and the antibodies with the growth function supposed to be trilinear. The model includes two kinds of treatments. The objective of the first one is to reduce the number of infected cells, while the aim of the second is to block free viruses. Firstly, the positivity and the boundedness of solutions are established. After that, the local stability of the disease free steady state and the infection steady states are characterized. Next, an optimal control problem is posed and investigated. Finally, numerical simulations are performed in order to show the behavior of solutions and the effectiveness of the two incorporated treatments via an efficient optimal control strategy. | pt_PT |
dc.description.sponsorship | KA and SH would like to thank the Moroccan CNRST “Centre National de Recherche Scientique et Technique” and the French CNRS “Centre National de Recherche Scientique” for the partial financial support through the project PICS 244832. DFMT is supported by Fundação para a Ciência e a Tecnologia (FCT), within project UIDB/04106/2020 (CIDMA). | pt_PT |
dc.language.iso | eng | pt_PT |
dc.publisher | American Institute of Mathematical Sciences (AIMS) | pt_PT |
dc.relation | UIDB/04106/2020 | pt_PT |
dc.relation | PICS 244832 | pt_PT |
dc.rights | restrictedAccess | pt_PT |
dc.subject | HIV modeling | pt_PT |
dc.subject | Adaptive immune response | pt_PT |
dc.subject | Stability | pt_PT |
dc.subject | Optimal control | pt_PT |
dc.subject | Treatment | pt_PT |
dc.title | Optimal control of an HIV model with a trilinear antibody growth function | pt_PT |
dc.type | article | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | yes | pt_PT |
degois.publication.firstPage | 501 | pt_PT |
degois.publication.issue | 3 | pt_PT |
degois.publication.lastPage | 518 | pt_PT |
degois.publication.title | Discrete & Continuous Dynamical Systems - Series S (DCDS-S) | pt_PT |
degois.publication.volume | 15 | pt_PT |
dc.identifier.doi | 10.3934/dcdss.2021148 | pt_PT |
dc.identifier.essn | 1937-1179 | pt_PT |
Appears in Collections: | CIDMA - Artigos DMat - Artigos SCG - Artigos |
Files in This Item:
File | Description | Size | Format | |
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[480]Allali_Harroudi_Torres-DCDS-S.pdf | 526.48 kB | Adobe PDF |
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