A stochastic mover/stayer model for an HIV epidemic.
A multicompartmental model is proposed to deal with the spread of the HIV epidemic. Stratification with respect to high- and low-risk groups is taken into account, introducing a "fuzzy" decomposition of the compartment of susceptibles. The infectivity period is staged using different levels of CD4 cell counts. Asymptotic behavior is studied, and some simulation results are reported in tabular and graphic forms.
Rossi
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Dipartimento di Matematica, Università di Roma Tor Vergata, Italy.
D003198:Computer Simulation; D004196:Disease Outbreaks / Q000706:statistics & numerical data; D015658:HIV Infections / Q000453:epidemiology*; D006801:Humans; D007558:Italy / Q000453:epidemiology; D008954:Models, Biological; D013269:Stochastic Processes