Stochastic HIV model coupled with pharmacokinetics and drug adherence may explain intermittent viral blips

We develop a stochastic HIV model by integrating drug adherence into pharmacokinetic and coupling pharmacodynamic with viral dynamic model. Numerical simulations show that the proposed can generate blips, which have been observed in patients receiving suppressive antiretroviral therapy. calculate probability density function of infected CD4+ T cells developing generalized evolution equation. fit to clinical data four exhibiting blips. The results demonstrate poor be reason explaining occurrence blips treated patients. also find dynamics are sensitive drug-adherence parameters, significant impact on frequency amplitude modeling methods applied study long-term therapy other chronic diseases might an issue.