  Motivated by the challenge related to the COVID-19 epidemic and the seek for
optimal containment strategies, we present a robustness analysis into an
inter-cities mobility complex network. We abstract municipal initiatives as
nodes' failures and the federal actions as targeted attacks. The geo(graphs)
approach is applied to visualize the geographical graph and produce maps of
topological indexes, such as degree and vulnerability. A Brazilian data of 2016
is considered a case study, with more than five thousand cities and
twenty-seven states. Based on the Network Robustness index, we show that the
most efficient attack strategy shifts from a topological degree-based, for the
all cities network, to a topological vulnerability-based, for a network
considering the Brazilian States as nodes. Moreover, our results reveal that
individual municipalities' actions do not cause a high impact on mobility
restrain since they tend to be punctual and disconnected to the country scene
as a whole. Oppositely, the coordinated isolation of specific cities is key to
detach entire network areas and thus prevent a spreading process to prevail.
