Convergence to endemic equilibrium in the stochastic epidemic model

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.

Sources & referencesView supporting material

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).

Progress summary

Never refreshed

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Solutions 0

No solutions have been posted yet.