Faculty of Electrical Engineering, Mathematics and Computer Science, P.O Box 5031, 2600 GA, Delft, The Netherlands.
J Math Biol. 2020 Dec;81(6-7):1299-1355. doi: 10.1007/s00285-020-01542-6. Epub 2020 Sep 22.
The majority of epidemic models are described by non-linear differential equations which do not have a closed-form solution. Due to the absence of a closed-form solution, the understanding of the precise dynamics of a virus is rather limited. We solve the differential equations of the N-intertwined mean-field approximation of the susceptible-infected-susceptible epidemic process with heterogeneous spreading parameters around the epidemic threshold for an arbitrary contact network, provided that the initial viral state vector is small or parallel to the steady-state vector. Numerical simulations demonstrate that the solution around the epidemic threshold is accurate, also above the epidemic threshold and for general initial viral states that are below the steady-state.
大多数传染病模型都是用非线性微分方程来描述的,这些方程没有闭式解。由于没有闭式解,对病毒的确切动力学的理解是相当有限的。我们解决了具有异质传播参数的易感染-感染-易感染传染病过程的 N 交织平均场近似的微分方程,在任意接触网络中,只要初始病毒状态向量很小或与稳定状态向量平行。数值模拟表明,在传染病阈值附近的解是准确的,也在传染病阈值以上,对于低于稳定状态的一般初始病毒状态。