标题： 一种基于交互社交接触图和生产能力图的流行病演化的向量逻辑斯蒂动力方法 显示英文标题

标题： A vector logistic dynamical approach to epidemic evolution on interacting social-contact and production-capacity graphs

摘要： 个体社会接触网络和个体感染-恢复率的差异导致传染病传播的动力学具有不确定性。 因此，与之叠加的经济生产网络及其适当的协作组件在一定程度上受到不可预测的影响。 我们的模型提出了一种“向量逻辑斯蒂”动力学方法，用于社会接触网络与其经济能力网络相互作用的SIS动力学。 向量逻辑斯蒂描述中的图态的概率解释提供了一种方法，用于评估感染者的均值和方差对生产能力的影响，并允许对社会连通性调节进行战略规划。 根据“累积”、“多数”和“脆弱性”代理指标评估流行病均值效应和波动对生产能力的影响。 显示英文摘要

摘要： Population inhomogeneity, in the variation of the individual social contact networks and the individual infectious-recovery rates, renders the dynamics of infectious disease spreading uncertain. As a consequence the overlaying economical production network with its proper collaboration components is to extent impacted unpredictably. Our model proposes a `vector logistic' dynamical approach to SIS dynamics in a social contact network interacting with its economic capacity network. The probabilistic interpretation of the graph state in the vector logistic description provides a method to assess the effect of mean and variance of the infected on the production capacity and allows the strategic planning of social connectivity regulation. The impact of the epidemic mean effects and fluctuations on the production capacity is assessed according `cumulative',`majority' and `fragility' proxy measures.