Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5298
Título: Mathematical model for HIV dynamics in HIV-specific helper cells
Autor: Pinto, Carla M. A.
Carvalho, Ana
Palavras-chave: HIV/AIDS
Specific helper cells
Delay mathematical models
Data: 2014
Editora: Elsevier
Relatório da Série N.º: Communications in Nonlinear Science and Numerical Simulation;Vol. 19, Issue 13
Resumo: In this paper we study a delay mathematical model for the dynamics of HIV in HIV-specific CD4 + T helper cells. We modify the model presented by Roy and Wodarz in 2012, where the HIV dynamics is studied, considering a single CD4 + T cell population. Non-specific helper cells are included as alternative target cell population, to account for macrophages and dendritic cells. In this paper, we include two types of delay: (1) a latent period between the time target cells are contacted by the virus particles and the time the virions enter the cells and; (2) virus production period for new virions to be produced within and released from the infected cells. We compute the reproduction number of the model, R0, and the local stability of the disease free equilibrium and of the endemic equilibrium. We find that for values of R0<1, the model approaches asymptotically the disease free equilibrium. For values of R0>1, the model approximates asymptotically the endemic equilibrium. We observe numerically the phenomenon of backward bifurcation for values of R0⪅1. This statement will be proved in future work. We also vary the values of the latent period and the production period of infected cells and free virus. We conclude that increasing these values translates in a decrease of the reproduction number. Thus, a good strategy to control the HIV virus should focus on drugs to prolong the latent period and/or slow down the virus production. These results suggest that the model is mathematically and epidemiologically well-posed.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5298
DOI: 10.1016/j.cnsns.2013.07.007
ISSN: 1007-5704
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S1007570413003092
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