Univ Lyon, École Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, CNRS, Laboratoire de Mécanique des Fluides et d'Acoustique, UMR 5509, 36 Avenue Guy de Collongue, F-69134 Ecully, France.
Phys Rev E. 2023 Jan;107(1):L012201. doi: 10.1103/PhysRevE.107.L012201.
Adding the notion of spatial locality to the susceptible-infected-recovered (or SIR) model, allows to capture local saturation of an epidemic. The resulting minimum model of an epidemic, consisting of five ordinary differential equations with constant model coefficients, reproduces slowly decaying periodic outbursts, as observed in the COVID-19 or Spanish flu epidemic. It is shown that if immunity decays, even slowly, the model yields a fully periodic dynamics.
将空间局部性的概念加入到易感-感染-恢复(或 SIR)模型中,可以捕捉到传染病的局部饱和现象。由此产生的一个由五个常微分方程组成的传染病最小模型,其模型系数恒定,可再现 COVID-19 或西班牙流感等传染病中观察到的缓慢衰减的周期性爆发。研究表明,如果免疫功能衰退,即使是缓慢的,模型也会产生完全周期性的动力学。