Abstract
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 for the interval of time for cells, with contact with the virus, to be infected by the virions, released by them; (2) a virion production period for the virions to be produced and released to the bloodstream from the infected cells. We compute the reproduction number of the model, R 0, and the stability of the disease-free equilibrium. We find that for values of R 0 < 1, the model approaches asymptotically the disease-free equilibrium. We present numerical simulations of this fact. These results suggest that the model is mathematically and epidemiologically well posed.
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References
CDC: Center for Disease Control (CDC).http://www.cdc.gov/HIV
Driessche, P., Watmough, J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Math. Biosci. 180(1–2), 29–48 (2002)
Goulder, P.J., Walker, B.D.: The great escape – AIDS viruses and immune control. Nat. Med. 5, 1233–1235 (1999)
Lv, C., Yuan, Z.: Stability analysis of delay differential equation models of HIV-1 therapy for fighting a virus with another virus. J. Math. Anal. Appl. 352, 672–683 (2009)
Mittler, J., Sulzer, B., Neumann A., Perelson A.: Influence of delayed viral production on viral dynamics in HIV-1 infected patients. Math. Biosci. 152, 143–163 (1998).
Nelson, P., Perelson, A.S.: Mathematical analysis of delay differential equation models of HIV-1 infection. Math. Biosci. 179, 73–94 (2002).
Perelson, A.S., Kirschner, D.E., Boer, R.: Dynamics of HIV infection of CD4+ T cells. Math. Biosci. 114, 81–125 (1993).
Rosenberg, E.S., Altfeld, M., Poon, S.H., Phillips, M.N., Wilkes, B.M., Eldridge, R.L., Robbins, G.K., D′Aquila, R.T., Goulder, P.J., Walker, B.D.: Immunecontrol of HIV-1 after early treatment acute infect. Nature 407, 523–526 (2000).
Roy, S.M., Wodarz, D.: Infection of HIV specific CD4 T helper cells and the clonal composition of the response. J. Theor. Biol. 304, 143–151 (2012).
Wodarz, D., Hamer, D.H.: Infection dynamics in HIV-specific CD4 T cells: Does a CD4 T cell boost benefit the host or the virus? Math. Biosci. 209, 14–29 (2007).
Wodarz, D., Thomsen, A.R.: Effect of the CTL proliferation program on virus dynamics. Int. Immunol. 17(9), 1269–1276 (2005).
WHO: Malaria and HIV Interaction and Their Implications for Public Health Police. The World Health Organization (WHO) (2004).
Acknowledgements
The authors wish to thank Fundação Gulbenkian, through Prémio Gulbenkian de Apoio à Investigação 2003, and the Polytechnic of Porto, through the PAPRE Programa de Apoio à Publicação em Revistas Científicas de Elevada Qualidade, for financial support. CP was partially funded by the European Regional Development Fund through the program COMPETE and by the Portuguese Government through the FCT - Fundação para a Ciência e a Tecnologia under the project PEst-C/MAT/UI0144/2013. The research of A.C. was supported by a FCT grant with reference SFRH/BD/96816/2013.
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Pinto, C.M.A., Carvalho, A.R.M. (2014). A Delay Mathematical Model for HIV Dynamics in HIV-Specific Helper Cells. In: Awrejcewicz, J. (eds) Applied Non-Linear Dynamical Systems. Springer Proceedings in Mathematics & Statistics, vol 93. Springer, Cham. https://doi.org/10.1007/978-3-319-08266-0_35
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DOI: https://doi.org/10.1007/978-3-319-08266-0_35
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