Fuzzy modeling in symptomatic HIV virus infected population.
This paper introduces a model for the evolution of positive HIV population and manifestation of AIDS (acquired immunideficiency syndrome). The focus is on the nature of the transference rate of HIV to AIDS. Expert knowledge indicates that the transference rate is uncertain and depends strongly on the viral load and the CD4+ level of the infected individuals. Here, we suggest to view the transference rate as a fuzzy set of the viral load and CD4+ level values. In this case the dynamic model results in a fuzzy model that preserves the biological meaning and nature of the transference rate lambda. Its behavior fits the natural history of HIV infection reported in the medical science domain. The paper also includes a comparison between the fuzzy model and a classic Anderson's model using data reported in the literature.
Jafelice
Rosana Motta
RM
Faculty of Mathematics, Federal University of Uberlândia, Uberlândia, MG, Brazil. rosanam@dca.fee.unicamp.br
de Barros
Laécio Carvalho
LC
Bassanezi
Rodney Carlos
RC
Gomide
Fernando
F
D000163:Acquired Immunodeficiency Syndrome / Q000097:blood / Q000453:epidemiology; D018791:CD4 Lymphocyte Count; D017143:Fuzzy Logic; D006678:HIV / Q000302:isolation & purification; D015658:HIV Infections / Q000453:epidemiology*; D006801:Humans; D008432:Mathematical Computing; D015233:Models, Statistical; D019562:Viral Load