Barber School of Arts and Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada.
Department of Mathematics, University of British Columbia, Vancouver, BC, Canada.
Bull Math Biol. 2019 Nov;81(11):4484-4517. doi: 10.1007/s11538-018-0414-6. Epub 2018 Mar 14.
We present an analysis of an avian flu model that yields insight into the roles of different transmission routes in the recurrence of avian influenza epidemics. Recent modelling work suggests that the outbreak periodicity of the disease is mainly determined by the environmental transmission rate. This conclusion, however, is based on a modelling study that only considers a weak between-host transmission rate. We develop an approximate model for stochastic avian flu epidemics, which allows us to determine the relative contribution of environmental and direct transmission routes to the periodicity and intensity of outbreaks over the full range of plausible parameter values for transmission. Our approximate model reveals that epidemic recurrence is chiefly governed by the product of a rotation and a slowly varying standard Ornstein-Uhlenbeck process (i.e. mean-reverting process). The intrinsic frequency of the damped deterministic version of the system predicts the dominant period of outbreaks. We show that the typical periodicity of major avian flu outbreaks can be explained in terms of either or both types of transmission and that the typical amplitude of epidemics is highly sensitive to the direct transmission rate.
我们对禽流感模型进行了分析,深入了解了不同传播途径在禽流感疫情复发中的作用。最近的建模工作表明,疾病的爆发周期性主要取决于环境传播率。然而,这一结论是基于仅考虑较弱宿主间传播率的建模研究得出的。我们开发了一个随机禽流感流行的近似模型,该模型使我们能够确定环境和直接传播途径对整个传播的合理参数值范围内的爆发的周期性和强度的相对贡献。我们的近似模型表明,传染病的复发主要由旋转和缓慢变化的标准 Ornstein-Uhlenbeck 过程(即均值回复过程)的乘积决定。系统阻尼确定性版本的固有频率预测了爆发的主导周期。我们表明,主要禽流感爆发的典型周期性可以用一种或两种传播类型来解释,并且疫情的典型幅度对直接传播率非常敏感。