Abstract
Infected population size estimation is a common problem in HIV/AIDS epidemic analysis and it is the most important aspect for planning appropriate care and prevention policies. Some Ordinary Differential Equations models of HIV epidemic in Cuba considering the Contact Tracing strategy have been described in previous works. In this paper we present a HIV/AIDS model described by Differential Inclusions. Also, we establish a mathematical framework allowing us to make suitable prediction of the size HIV infected population at a future time.
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Lounes, R., De Arazoza, H.: A two-type model for the Cuban national programme on HIV/AIDS. IMA. J. Math. Appl. Med. Biol. 16, 143–154 (1999)
De Arazoza, H., Lounes, R.: A non-linear model for sexually transmitted disease with contact tracing. IMA. J. Math. Appl. Med. Biol. 19, 221–234 (2002)
Aubin, J.-P., Cellina, A.: Differential Inclusions, Set-Valued Maps and Viability Theory. Springer, Heidelberg (1984)
Aubin, J.-P., Frankowska, H.: Set-Valued Analysis. Birkhäuser, Basel (1990)
Lempio, F., Veliov, V.: Discrete approximation of differential inclusions. Bayreuther Mathematische Schriften 54, 149–232 (1998)
Veliov, V.: On the time-discretization of control systems. SIAM J. Cont. Optim. 35(5), 1470–1486 (1997)
Atencia, M., Joya, G., García-Garaluz, E., De Arazoza, H., Sandoval, F.: Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 948–955. Springer, Heidelberg (2007)
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Barrios, J., Piétrus, A., Marrero, A., de Arazoza, H. (2009). HIV Model Described by Differential Inclusions. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_114
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DOI: https://doi.org/10.1007/978-3-642-02478-8_114
Publisher Name: Springer, Berlin, Heidelberg
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