The solution? Avoid the generalized growth of susceptible population throughout the network by dividing it in sectors and vaccinate each of them asynchronously.

We found that there is a single parameter, the reduced R0, that controls the whole dynamics and is the best predictor of whether there is going to be a rebound or not. This quantity tells us if the vaccination campaign only affects the targeted patched or if it has a global effect on the network.

Now with this new paper we turn to the question of how the geographical distribution of vaccines influences this rebound.