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Green Social CPS Based E-Healthcare Systems to Control the Spread of Infectious Diseases

机译:基于绿色社会CPS的电子医疗系统可控制传染病的传播

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Recently, social network based e-healthcare service has emerged as a promising way to control the spread of infectious diseases. However, the large-scale deployment in reality faces a fundamental challenge to reduce the cost where social features of mobile users and the properties of networks should be considered. To tackle the above problem, this paper presents a green social cyber physical system (CPS) based e-Healthcare scheme to control infectious diseases. Firstly, based on the analysis of social features, the high influential users are selected to inoculate immune drugs when an infectious disease is identified. Secondly, we develop an epidemic spreading model with the dynamic equations to analyze the efficiency of immune strategy. With the proposed model, the spread of infectious diseases can be effectively monitored and the spreading range of the infectious can be predicted. In addition, simulation experiments prove that the proposal can be more efficient to prevent infectious diseases from being spread than conventional methods.
机译:最近,基于社交网络的电子医疗服务已经成为控制传染病传播的一种有前途的方式。然而,现实中的大规模部署面临着降低成本的根本挑战,在降低成本的同时应考虑移动用户的社交功能和网络特性。为了解决上述问题,本文提出了一种基于绿色社交网络物理系统(CPS)的电子卫生保健计划,以控制传染病。首先,基于对社会特征的分析,当识别出传染病时,选择具有高影响力的使用者来接种免疫药物。其次,我们建立了带有动力学方程的流行病传播模型,以分析免疫策略的效率。利用所提出的模型,可以有效地监测传染病的传播,并可以预测传染病的传播范围。此外,仿真实验证明,该建议比常规方法可以更有效地防止传染病传播。

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