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COVID-19 outbreaks have proven to be very difficult to isolate and extinguishbefore they spread out. An important reason behind this might be thatepidemiological barriers consisting in stopping symptomatic people are likelyto fail because of the contagion time before onset, mild cases and/orasymptomatics carriers. Motivated by these special COVID-19 features, we studya scheme for containing an outbreak in a city that consists in adding an extrafirewall block between the outbreak and the rest of the city. We implement acoupled compartment model with stochastic noise to simulate a localizedoutbreak that is partially isolated and analyze its evolution with and withoutfirewall for different plausible model parameters. We explore how furtherimprovements could be achieved if the epidemic evolution would trigger policychanges for the flux and/or lock-down in the different blocks. Our results showthat a substantial improvement is obtained by merely adding an extra blockbetween the outbreak and the bulk of the city.

Containing COVID-19 outbreaks using a Firewall