New Ideas and Methods of Coping Mechanism for Infectious Diseases Based on Big Data: A Critical Literature Review

Shuhong Chen, Zhiyi Zhuo
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Abstract

Based on big data analysis, we discuss how to formulate an optimal coping mechanism for infectious diseases, especially major and emerging infectious diseases. First, by combining big data analysis and statistical analysis model and deducing whether the emerging disease is contagious, the strength of the contagion effect and the possible consequences, this study will determine whether the corresponding coping strategies should be implemented for infectious diseases, especially major and emerging infectious diseases. Secondly, according to the inspection results and actual situation, the optimal coping strategy is formulated to minimize the loss of life and property security of the country and the society by using the optimization principle and the objective management in management science. Finally, the statistical analysis method and the six sigma principle are combined to develop a feedback mechanism to evaluate whether the formulated coping strategies can achieve the expected results in practice. Our research has improved the research framework of infectious diseases in theory and provided scientific reference and experience for the major and emerging infectious diseases in practice for the future.
基于大数据的传染病应对机制新思路与新方法——文献综述
在大数据分析的基础上,探讨如何制定传染病,特别是重大传染病和新发传染病的最佳应对机制。首先,通过结合大数据分析和统计分析模型,推断出新发疾病是否具有传染性、传染效应的强弱以及可能产生的后果,确定对传染病,特别是重大传染病和新发传染病是否需要实施相应的应对策略。其次,根据检查结果和实际情况,运用管理学中的最优化原理和目标管理,制定最优应对策略,使国家和社会的生命财产安全损失降到最低。最后,结合统计分析方法和六西格玛原则,建立反馈机制,评估制定的应对策略在实践中是否能达到预期效果。我们的研究在理论上完善了传染病的研究框架,为今后的重大和新发传染病的实践提供了科学的参考和经验。
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