A stochastic model of the HIV epidemic and the HIV infection distribution in a homosexual population.
In this paper we develop a stochastic model for the HIV epidemic in a homosexual population and use the model to characterize the HIV infection distribution and seroconversion distribution. Through computer-generated infection distributions and seroconversion distributions, we assess the effects of various risk factors on these distributions. The fitting of some data sets generated by computer suggests that the three-parameter generalized log-logistic distribution should be assumed as the infection distribution for the proposed stochastic model of HIV epidemics.
Tan
W Y
WY
Department of Mathematical Sciences, Memphis State University, Tennessee.
Byers
R H
RH
D004196:Disease Outbreaks; D015658:HIV Infections / Q000453:epidemiology* / Q000635:transmission; D006716:Homosexuality; D006801:Humans; D008297:Male; D008954:Models, Biological; D013269:Stochastic Processes