Hybrid stochastic framework predicts efficacy of prophylaxis against HIV: An example with different dolutegravir prophylaxis schemes
Fig 2
Examplary trajectories for time-varying drug effects.
The left panels show an example of an infection event, whereas the right panels show an example of viral extinction for chronic PrEP with 2mg DTG and 5% adherence. Panels A and C depict the instantaneous target-process inhibition profiles and panels B and D depict the corresponding viral trajectories using the adapted EXTRANDE algorithm. Viral exposure occurs randomly during a 3 month period and is sampled from the distribution parameterized in [11] (Figure 2 therein). A&C: The blue lines depict the instantaneous target-process inhibition profiles ηD(t). The dashed red line denotes the maximum target-process inhibition . The leftmost grey vertical dashed lines mark the time of viral exposure, whereas the rightmost lines marks the time point of either establishment of infection (panel A) or virus extinction (panel C). B&D: Stochastic trajectories of viral compartments (orange: free viruses, green: early-infected cells T1, purple: late-infected T2 cells) for the time after virus exposure and before virus infection/extinction. Stochastic simulations are stopped in panel B when the trajectories leave the extinction simplex and because of virus extinction in panel D.