Before revision:  Our results show a non-linear correlation between epidemic dynamics and  network's assortativity, highlighting that highly disassortative networks are particularly impactful at containing epidemics . To explain the finding, we propose a novel network-theoretic measure, \psi, defined as the ratio between Shannon information and maximum coreness. Higher \psi is found in highly disassortative networks, which provides an explanation on why disassortative networks may be better at suppressing epidemics.
After revision:  Our results show a non-linear correlation between epidemic dynamics and network's assortativity, highlighting that networks with high assortativity tend to suppress epidemics under certain conditions. In highly assortative networks, the suppression is sustained producing an early convergence to equilibrium. In highly disassortative networks, which provides an explanation on why disassortative networks may be better at suppressing epidemics.