论文标题
控制干预策略，用于主机内，宿主间及其在治疗中的功效，COVID-19的传播：一种多尺度建模方法
Control Intervention Strategies for Within-Host, Between-Host and their Efficacy in the Treatment, Spread of COVID-19 : A Multi Scale Modeling Approach
论文作者
论文摘要
在过去的几个月中，Covid-19-19导致212个国家的1450万多个感染和6,04,917人死亡。在COVID-19的多个发病机理的多个阶段作用的不同药物干预可以大大减少诱发的感染，从而降低死亡率。人口水平控制策略也可以大大减少COVID-19的传播。在这些观察结果的推动下，在这项工作中，我们提出和研究了一个多量表模型，该模型均连接了Covid-19的宿主内部和宿主间动力学。最初，研究了与疾病动态有关的自然史。后来，进行比较效率以了解宿主内部和人口水平干预措施的功效。这项研究的结果表明，涉及用arbidol，remdesivir，lopinavir/ritonavir等药物进行治疗的组合策略，抑制病毒复制和免疫疗法（如单克隆抗体），以及环境卫生远处以及一般的社会远处，并且在基本的群体中是最佳的和环境的差异和环境的差异，并在重新降低了数量上是基本的。
The COVID-19 pandemic has resulted in more than 14.5 million infections and 6,04,917 deaths in 212 countries over the last few months. Different drug intervention acting at multiple stages of pathogenesis of COVID-19 can substantially reduce the infection induced,thereby decreasing the mortality. Also population level control strategies can reduce the spread of the COVID-19 substantially. Motivated by these observations, in this work we propose and study a multi scale model linking both within-host and between-host dynamics of COVID-19. Initially the natural history dealing with the disease dynamics is studied. Later, comparative effectiveness is performed to understand the efficacy of both the within-host and population level interventions. Findings of this study suggest that a combined strategy involving treatment with drugs such as Arbidol, remdesivir, Lopinavir/Ritonavir that inhibits viral replication and immunotherapies like monoclonal antibodies, along with environmental hygiene and generalized social distancing proved to be the best and optimal in reducing the basic reproduction number and environmental spread of the virus at the population level.
