  We propose an epidemiological model that includes the mobility patterns of
the individuals, in the spirit to those considered in (Barmak, 2011, 2016) and
(Medus, 2011). We assume that people move around in a city of 120x120 blocks
with 300 inhabitants in each block. The mobility pattern is associated to a
complex network in which nodes represent blocks while the links represent the
traveling path of the individuals. We implemented three confinement strategies
in order to mitigate the disease spreading: 1) global confinement, 2) partial
restriction to mobility, and 3) localized confinement. In the first case, it
was observed that a global isolation policy prevents the massive outbreak of
the disease. In the second case, a partial restriction to mobility could lead
to a massive contagion if this was not complemented with sanitary measures such
as the use of masks and social distancing. Finally, a local isolation policy
was proposed, conditioned to the health status of each block. It was observed
that this mitigation strategy was able to contain and even reduce the outbreak
of the disease by intervening in specific regions of the city according to
their level of contagion. It was also observed that this strategy is capable of
controlling the epidemic in the case that a certain proportion of those
infected are asymptomatic.
