In this study, we propose a new mathematical model and analyze it to understand the transmission dynamics of the COVID-19 pandemic in Bangkok, Thailand. It is divided into seven compartmental classes, namely, susceptible exposed symptomatically infected asymptomatically infected quarantined recovered and death , respectively. The next-generation matrix approach was used to compute the basic reproduction number denoted as of the proposed model. The results show that the disease-free equilibrium is globally asymptotically stable if . On the other hand, the global asymptotic stability of the endemic equilibrium occurs if . The mathematical analysis of the model is supported using numerical simulations. Moreover, the model’s analysis and numerical results prove that the consistent use of face masks would go on a long way in reducing the COVID-19 pandemic.

中文翻译：

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COVID-19 大流行的数学模型：以泰国曼谷为例

在这项研究中，我们提出了一个新的数学模型并对其进行分析，以了解泰国曼谷 COVID-19 大流行的传播动态。它分为七个区室类别，即易感裸露有症状感染无症状感染者被隔离恢复了和死亡，分别。下一代矩阵方法用于计算所提出模型的基本再生数。结果表明，无病平衡是全局渐近稳定的，如果。另一方面，如果发生地方性平衡的全局渐近稳定性。使用数值模拟支持模型的数学分析。此外，该模型的分析和数值结果证明，持续使用口罩对于减少 COVID-19 大流行将大有帮助。