论文标题
COVID-19中抗病毒作用的动态表征
Dynamical Characterization of Antiviral Effects in COVID-19
论文作者
论文摘要
描述SARS-COV-2动力学的数学模型以及CoVID-19患者的相应免疫反应对于评估抗病毒治疗可能的临床结果至关重要。在这项工作中，基于宿主中病毒扩张性的概念，抗病毒有效性阈值确定以确定治疗是否能够清除感染。此外，宿主中的病毒动态 - 包括峰值和最终单调降低的行为 - 是治疗初始时间的函数。基于九个实际患者数据的仿真结果显示了根据患者关键参数的治疗分类的潜在临床益处。这项研究旨在为开发以解决SARS-COV-2的不同抗病毒药铺平道路。
Mathematical models describing SARS-CoV-2 dynamics and the corresponding immune responses in patients with COVID-19 can be critical to evaluate possible clinical outcomes of antiviral treatments. In this work, based on the concept of virus spreadability in the host, antiviral effectiveness thresholds are determined to establish whether or not a treatment will be able to clear the infection. In addition, the virus dynamic in the host -- including the time-to-peak and the final monotonically decreasing behavior -- is chracterized as a function of the treatment initial time. Simulation results, based on nine real patient data, show the potential clinical benefits of a treatment classification according to patient critical parameters. This study is aimed at paving the way for the different antivirals being developed to tackle SARS-CoV-2.
