Figure 5

Adherence patterns influence the dynamics of drug resistance. (a) Dynamics of drug resistance assuming 50% adherence with periodic adherent and non-adherent spans lasting 10 days (left panel), 30 days (middle panel), or 50 days (right panel). TDF-DP concentration is overlaid in gray for reference. (b) Example of how a Markov model for drug adherence could represent underlying drivers of missed doses. (c) Dynamics of drug resistance using a two-state Markov model with exponentially distributed duration spent in the adherent and non-adherent states, each with an average duration of 30 days. This is the stochastic version of the periodic model in the middle panel of (a), providing an example of how such a model could be driven stochastically to reflect this aspect of real-life adherence patterns.