Dynamics of epidemics from cavity master equations: Susceptible-infectious-susceptible models

We apply the recently introduced cavity master equation (CME) to epidemic models and compare it to previously known approaches. We show that CME seems to be the formal way to derive (and correct) dynamic message passing (rDMP) equations that were previously introduced in an intuitive ad hoc manner. CME outperforms rDMP in all cases studied. Both approximations are nonbacktracking and this causes CME and rDMP to fail when the ecochamber mechanism is relevant, as in loopless topologies or scale free networks. However, we studied several random regular graphs and Erdos-Renyi graphs, where CME outperforms individual based mean field and a type of pair based mean field, although it is less precise than pair quenched mean field. We derive analytical results for endemic thresholds and compare them across different approximations.