  Quarantine measures are one of the first lines of defense against the spread
of infectious diseases. However, maintaining these measures over extended
periods can be challenging due to a phenomenon known as quarantine fatigue. In
this paper, we investigate the impact of quarantine fatigue on the spread of
infectious diseases by using an epidemic model on random networks with cliques.
In our model, susceptible individuals can be quarantined up to $n$ times, after
which they stop complying with quarantine orders due to fatigue. Our results
show that quarantine fatigue may induce a regime in which increasing the
probability of detecting and isolating infected individuals (along with their
close contacts) could subsequently increase the expected number of cases at the
end of an outbreak. Moreover, we observe that quarantine fatigue can trigger an
abrupt phase transition at the critical reproduction number $R_0=1$. Finally,
we explore a scenario where a non-negligible number of individuals are infected
at the beginning of an epidemic, and our results show that, depending on the
value of $n$, an abrupt transition between a controlled epidemic and a large
epidemic event can occur for $R_0<1$.
