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Modeling analytics in COVID-19: prediction, prevention, control, and evaluation
Journal of Management Analytics ( IF 6.554 ) Pub Date : 2021-07-01 , DOI: 10.1080/23270012.2021.1946664
Yang Lu 1 , Therese L. Williams 1
Affiliation  

The outbreak of COVID-19 has attracted attention from all around the world. Governments and institutions have adopted ways to fight COVID-19, but its prevalence is still strong. The SIR model has important reference value for the novel coronavirus epidemic, offering both preventive measures and the ability to predict future trends. Based on an analysis of the classical epidemiological SIR model along with key parameters, this paper aims to analyze the patterns of COVID-19, to discuss potential anti-COVID-19 measures, and to explain why we need to conduct appropriate measures against COVID-19. The use of the SIR model can play an important role in public health emergencies. Among the parameters of the SIR model, the contact ratio and the reproduction ratio are the factors that have the potential to mitigate the consequences of COVID-19. Anti-COVID-19 measures include wearing a mask, washing one’s hands, keeping social distance, and staying at home if possible.



中文翻译:

COVID-19 中的建模分析:预测、预防、控制和评估

COVID-19的爆发引起了全世界的关注。政府和机构已采取多种方法来对抗 COVID-19,但其流行程度仍然很高。SIR模型对于新型冠状病毒的流行具有重要的参考价值,既提供了预防措施,又提供了预测未来趋势的能力。基于对经典流行病学 SIR 模型以及关键参数的分析,本文旨在分析 COVID-19 的模式,讨论潜在的抗 COVID-19 措施,并解释为什么我们需要对 COVID-19 采取适当的措施。 19. SIR模型的使用可以在突发公共卫生事件中发挥重要作用。在 SIR 模型的参数中,接触率和繁殖率是有可能减轻 COVID-19 后果的因素。

更新日期:2021-08-24
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