HIV Model Described by Differential Inclusions

Authors:
Jorge Barrios;Alain Piétrus;Aymée Marrero;Héctor Arazoza
Affiliations:
Département de Mathématiques et Informatique, Laboratoire Analyse, Optimisation, Contrôle, Université des Antilles et de la Guyane, Pointe-à-Pitre, France F-97159 and Facu ...;Département de Mathématiques et Informatique, Laboratoire Analyse, Optimisation, Contrôle, Université des Antilles et de la Guyane, Pointe-à-Pitre, France F-97159;Facultad de Matemática y Computación, Universidad de La Habana, La Habana, Cuba;Facultad de Matemática y Computación, Universidad de La Habana, La Habana, Cuba
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

Citing 3
Cited 1

On the Time-Discretization of Control Systems

SIAM Journal on Control and Optimization
Differential Inclusions: Set-Valued Maps and Viability Theory

Differential Inclusions: Set-Valued Maps and Viability Theory
Estimation of the rate of detection of infected individuals in an epidemiological model

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

Dengue model described by differential inclusions

IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

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.