论文标题
主机中SARS-COV-2动力学的表征
Characterization of SARS-CoV-2 Dynamics in the Host
论文作者
论文摘要
尽管已经提出了许多流行病学模型来理解和处理COVID-19，但投资太少，无法了解人体中的病毒在人体中的复制以及潜在的抗病毒药物来控制复制周期。在这项工作中，使用控制理论方法，对人类中SARS-COV-2的数学模型进行了正确的特征。基于繁殖编号开发了对主要动态特征的完整分析。系统的平衡区域是充分表征的，并且正式建立了这样的区域的稳定性。数学分析强调了关键条件以减少宿主中单调的SARS-COV-2，这种情况与量身定制的未来抗病毒治疗有关。仿真结果表明上述系统表征的潜在优势。
While many epidemiological models have being proposed to understand and handle COVID-19, too little has been invested to understand how the virus replicates in the human body and potential antiviral can be used to control the replication cycle. In this work, using a control theoretical approach, validated mathematical models of SARS-CoV-2 in humans are properly characterized. A complete analysis of the main dynamic characteristic is developed based on the reproduction number. The equilibrium regions of the system are fully characterized, and the stability of such a regions, formally established. Mathematical analysis highlights critical conditions to decrease monotonically SARS-CoV-2 in the host, such conditions are relevant to tailor future antiviral treatments. Simulation results show the potential benefits of the aforementioned system characterization.
