Chatterjee Amar Nath, Basir Fahad Al, Biswas Dibyendu, Abraha Teklebirhan
Department of Mathematics, K.L.S. College, Nawada, Magadh University, Bodhgaya 805110, Bihar, India.
Department of Mathematics, Asansol Girls' College, Asansol 713304, West Bengal, India.
Vaccines (Basel). 2022 Oct 31;10(11):1846. doi: 10.3390/vaccines10111846.
Mathematical modeling is crucial to investigating tthe ongoing coronavirus disease 2019 (COVID-19) pandemic. The primary target area of the SARS-CoV-2 virus is epithelial cells in the human lower respiratory tract. During this viral infection, infected cells can activate innate and adaptive immune responses to viral infection. Immune response in COVID-19 infection can lead to longer recovery time and more severe secondary complications. We formulate a micro-level mathematical model by incorporating a saturation term for SARS-CoV-2-infected epithelial cell loss reliant on infected cell levels. Forward and backward bifurcation between disease-free and endemic equilibrium points have been analyzed. Global stability of both disease-free and endemic equilibrium is provided. We have seen that the disease-free equilibrium is globally stable for R0<1, and endemic equilibrium exists and is globally stable for R0>1. Impulsive application of drug dosing has been applied for the treatment of COVID-19 patients. Additionally, the dynamics of the impulsive system are discussed when a patient takes drug holidays. Numerical simulations support the analytical findings and the dynamical regimes in the systems.
数学建模对于研究当前的2019冠状病毒病(COVID-19)大流行至关重要。严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)病毒的主要靶区是人类下呼吸道的上皮细胞。在这种病毒感染期间,受感染的细胞可以激活针对病毒感染的固有免疫和适应性免疫反应。COVID-19感染中的免疫反应可能导致恢复时间延长和更严重的继发性并发症。我们通过纳入一个依赖于感染细胞水平的SARS-CoV-2感染上皮细胞损失的饱和项,建立了一个微观层面的数学模型。分析了无病平衡点和地方病平衡点之间的正向和反向分岔。给出了无病平衡点和地方病平衡点的全局稳定性。我们已经看到,当R0<1时无病平衡点全局稳定,当R0>1时地方病平衡点存在且全局稳定。脉冲给药已应用于COVID-19患者的治疗。此外,还讨论了患者停药时脉冲系统的动力学。数值模拟支持了系统中的分析结果和动力学机制。