Seasonal epidemic spreading on small-world networks: Biennial outbreaks and classical discrete time crystals

We study seasonal epidemic spreading in a susceptible-infected-removed-susceptible model on small-world graphs. We derive a mean-field description that accurately captures the salient features of the model, most notably a phase transition between annual and biennial outbreaks. A numerical scaling analysis exhibits a diverging autocorrelation time in the thermodynamic limit, which confirms the presence of a classical discrete time crystalline phase. We derive the phase diagram of the model both frommean-field theory and from numerics. Our paper demonstrates that small worldness and non-Markovianity can stabilize a classical discrete time crystal, and links recent efforts to understand such dynamical phases of matter to the century-old problem of biennial epidemics.

Automated summary

The study investigates seasonal epidemic spreading on small-world graphs and identifies a classical discrete time crystal phase through mean-field theory and numerical analysis, showing that small worldness and non-Markovianity can stabilize such a phase. This research connects recent efforts in understanding dynamical phases of matter to the long-standing problem of biennial epidemics.