A Hybrid ABM-PDE Framework for Real-World Infectious Disease Simulations
Kristina Kehrer and Tim O. F. Conrad
本文介绍了一种混合建模方法,将基于代理的模型(ABM)与偏微分方程(PDE)模型结合在流行病环境中,使用具有七个健康状态的隔间结构来模拟传染病的空间传播。 目标是通过引入耦合的ABM-PDE模型来降低全ABM的计算复杂性,该模型提供显着更快的模拟,同时保持可比的准确性。 我们的结果表明,混合模型不仅减少了整体模拟运行时(定义为稳定结果所需的运行次数乘以一次运行持续时间),而且还在25个两个过程中实现了较小的错误。
This paper presents a hybrid modeling approach that couples an Agent-Based Model (ABM) with a partial differential equation (PDE) model in an epidemic setting to simulate the spatial spread of infectious diseases using a compartmental structure with seven health states. The goal is to reduce the computational complexity of a full-ABM by introducing a coupled ABM-PDE model that offers significantly faster simulations while maintaining comparable accuracy. Our results demonstrate that the hybrid m...