对SIR流行病学模型进行定量简化
Towards a quantitative reduction of the SIR epidemiological model
摘要：
出于我们打算使用SIR型流行病学模型的背景下，提供了大规模的高度互动的非同质人群的动态网络，我们调查在这个框架中的可能性，以减少经典的SIR模型的一个代表性的进化模型，为一个适当选择的观察。对于选定的情况下，我们提供了实用的{ \em先验}之间的近似和原始观测误差界。最后，我们数值说明的行为相比，原来的减少模型。
英文摘要：
Motivated by our intention to use SIR-type epidemiological models in the context of dynamic networks as provided by large-scale highly interacting inhomogeneous human crowds, we investigate in this framework possibilities to reduce the classical SIR model to a representative evolution model for a suitably chosen observable. For selected scenarios, we provide practical {\em a priori} error bounds between the approximate and the original observables. Finally, we illustrate numerically the behavior of the reduced models compared to the original ones.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
