  We study the potential scenarios from a
Susceptible-Infected-Recovered-Asymptomatic-Symptomatic-Dead (SIRASD) model. As
a novelty, we consider populations that differ in their degree of compliance
with social distancing policies following socioeconomic attributes that are
observed in emerging and developing countries. Considering epidemiological
parameters estimated from data of the propagation of SARS-CoV-2 in Brazil --
where there is a significant stake of the population making their living in the
informal economy and thus prone to not follow self-isolation -- we assert that
if the confinement measures are lifted too soon, namely as much as one week of
consecutive declining numbers of new cases, it is very likely the appearance of
a second peak. Our approach should be valid for any country where the number of
people involved in the informal economy is a large proportion of the total
labor force. In summary, our results point out the crucial relevance of target
policies for supporting people in the informal economy to properly comply with
preventive measures during the pandemic.
