Fig 2. Changing the waiting times for the different stages of the infection cycle influences the overall dynamic.

In our models, by default generate waiting times from Exponential distribution with one value for its parameter(Exp(λ = 1)), except for the eclipse duration which is generated from Weibull distribution. The scale and shape parameters of the Weibull distribution, both have been set as one(scale = 1, shape = 1). The blue trajectories show the behaviour of our model with the default parameters. To show how changing these parameters affects our model, in each of the four panels, we changed the waiting time of one of the transition (orange trajectories). For the manipulated simulations, the waiting times for transition between attachment, penetration, and replication were generated from Exp(λ = 3). The waiting time of the eclipse stage was generated from Weibull(1, 0.5). Each trajectory is the average of 100 runs. The shaded areas contain the trajectories of all the 100 runs for the given parameters. The immune system was not active in all the runs.