肥胖引发COVID-19:因果发现和多目标线性规划方法

Yuchen Yang, Haoxuan Li
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引用次数: 0

摘要

肥胖与COVID-19死亡率之间是否存在因果关系?营养饮食能有效控制肥胖率吗?GDP在上述关系中扮演什么角色?在本文中,我们分析了国家能量摄入结构与肥胖率之间的关系,高比例的肉类特征摄入会导致肥胖率的增加。我们估计了直接因果关系,得出的结论是,肥胖导致COVID-19患者的死亡概率约为正常人群的3倍。最后,通过多目标线性规划优化大学生营养饮食,旨在为有效控制肥胖率和COVID-19提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Obesity Triggers COVID-19: Causal Discovery and Multiobjective Linear Programming Approach
Is there a causal relationship between obesity and the COVID-19 death rate? Can a nutritious diet effectively control the obesity rate? What role does GDP play in the above relationship? In this article, we analyzed the relationship between the country's energy intake structure and obesity rates, and a high proportion of meat features intake will lead to an increase in obesity rates. We estimated the direct causal effect and concluded that obesity causes the probability of death of COVID-19 patients is about three times that of the normal population. Finally, we optimize the nutritional diet for college students through multiobjective linear programming, aiming to provide a reference for effectively controlling the obesity rate and COVID-19.
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