The principles of the HIV-AIDS epidemics and the relations
of susceptible, HIV infected, AIDS, and immunized subpopulation will be
established. We would like to develop a general mathematical modeling for HIV -
AIDS with Vaccination to understand the spread of the aids virus and to predict
the number of infected individuals during a certain period in a population.
Further we expand the research to special cases with no vaccinations. We will
investigate the model in special case when the removal subset of the population
is empty, or there is no recovery in this epidemic. We also can consider the
total infected number is equal to the sum of the HIV infected and the number of
AIDS infected. As a result, we can use SIR Monte Carlo simulation method in SIR
case to verify the Validity of the HIV-AIDS model.
Author(s) Details:
Reza R. Ahangar,
Mathematics
Department, Texas A & M University Kingsville, United States.
Please see the link here: https://stm.bookpi.org/RATMCS-V8/article/view/13070
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