Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases
Fig 10
a) The simulation is executed without any control measure, and the number of infected individuals is plotted versus time for the period of 10 months. The halo around the solid curve is the confidence interval obtained by multiple runs. At each round, the parameters of the population and the disease are re-sampled from the specified distributions. b) The curves of the number of active cases versus time are plotted for different immunity rates. The immunity rate is sampled from three uniform distributions with different mean values. As can be seen, more significant immunity rates give rise to flatter curves. Note that AI initials in the legend stand for Average Immunity, which is the mean of the uniform distribution from which each curve’s immunity rate is sampled.