泰国新冠肺炎疫情数学模型分析

Proceedings of the 6th International Conference on Biomedical Signal and Image Processing Pub Date : 2021-08-20 DOI:10.1145/3484424.3484425

P. Pongsumpun

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引用次数: 0

摘要

本研究的目的是研究泰国COVID-19病毒的特征。建立了COVID-19病毒的数学模型。我们把人类分成6组。将感染人群分为无症状感染人群和有症状感染人群两类。我们研究了模型平衡点的行为。确定平衡点局部稳定的条件。给出了数学模型的数值结果。这将导致泰国病人死亡率的降低。

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Analysis of the Mathematical Model of Covid-19 in Thailand

The purpose of this research is to study the characteristics of the COVID-19 virus in Thailand. We formulate the mathematical model of COVID-19 virus. We separate the human populations into 6 groups. The infected human populations are separated into 2 classes such as infectious human population with no show symptom and infectious human population with symptoms. We study the behavior of the equilibrium points of the model. Determine the conditions for the local stability of the equilibrium points. Numerical results of mathematical models are presented. This will lead to a reduction in the mortality rate of patients in Thailand.

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Proceedings of the 6th International Conference on Biomedical Signal and Image Processing

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