Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.
While these equations describe the large-Klimit of our approach, we believe that that they are still not exact, even on random regular graphs
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Threshold and quasi-stationary distribution for the SIS model on networks
Dynamic state expansion with infection memory improves pair approximation accuracy for SIS epidemic threshold and quasi-stationary distribution on arbitrary networks.