DRUG RESISTANCE MAY ACCELERATE AN HIV EPIDEMIC AS SHOWN BY THE NESTED MODEL
Abstract
The most effective strategy for controlling the HIV epidemic is the use of antiretroviral therapy (ART). However, the emergence of drug-resistant strains may diminish ART's potential advantages. Individually, the viral dynamics of drug-sensitive and drug-resistant strains may play a significant role in the development and spread of drug resistance in a population. Using a nested model that connects both dynamical levels, we investigate how an infected person's viral dynamics affect the HIV epidemic's dynamics. An epidemiological model of HIV incorporates a time-dependent transmission rate between hosts that receives feedback from a model of two-strain virus dynamics within a host. Model parameters like the time at which ART is initiated, the percentage of cases treated, and the likelihood that a patient develops drug resistance have the greatest impact on total infection and the prevalence of drug resistance, according to our analysis of the model's resulting dynamics.
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