Convergence to endemic equilibrium in the stochastic epidemic model

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Under Assumptions~--, let R0>E[1γ∗]R_0 > \mathbb{E}\left[\frac{1}{\gamma_*}\right] and suppose that F‾(0)>0\overline{\mathfrak F}(0)>0. The quantities S‾(t)\overline{\mathfrak S}(t) and F‾(t)\overline{\mathfrak F}(t) denote the mean susceptibility and force of infection, respectively. The endemic equilibrium is the pair (F‾∗,S‾∗)(\overline{\mathfrak F}_*,\overline{\mathfrak S}_*), where

S‾∗=1/R0\overline{\mathfrak S}_*=1/R_0

and F‾∗\overline{\mathfrak F}_* is the unique positive solution of the equilibrium equation.

Convergence conjecture. Under these assumptions,

(F‾(t),S‾(t))→(F‾∗,S‾∗)as t→∞.(\overline{\mathfrak F}(t),\overline{\mathfrak S}(t))\to(\overline{\mathfrak F}_*,\overline{\mathfrak S}_*)\quad\text{as }t\to\infty.

The conjecture asserts convergence to the unique endemic equilibrium when the basic reproduction parameter exceeds the threshold E[1/γ∗]\mathbb{E}[1/\gamma_*]. The preceding lemma and corollary establish persistence and identify the equilibrium, while convergence itself remains conjectural.

References

Primary source

Raphaël Forien, Guodong Pang, Étienne Pardoux and Arsene Brice Zotsa-Ngoufack, “Stochastic epidemic models with varying infectivity and waning immunity”, arXiv:2210.04667 (2025).

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