Wintachai Phitchayapak, Prathom Kiattisak
Division of Biology, School of Science, Walailak University, Nakhon Si Thammarat, Thailand.
Division of Mathematics and Statistics, School of Science, Walailak University, Nakhon Si Thammarat, Thailand.
Heliyon. 2021 Apr;7(4):e06812. doi: 10.1016/j.heliyon.2021.e06812. Epub 2021 Apr 15.
This work is aimed to formulate and analyze a mathematical modeling, model, for COVID-19 with the main parameters of vaccination rate, effectiveness of prophylactic and therapeutic vaccines. Global and local stability of the model are investigated and also numerical simulation. Local stability of equilibrium points are classified. A Lyapunov function is constructed to analyze global stability of the disease-free equilibrium. The simulation part is based on two situations, the US and India. In the US circumstance, the result shows that with the rate of vaccination 0.1% per day of the US population and at least 20% effectiveness of both prophylactic and therapeutic vaccines, the reproductive numbers are reduced from 2.99 (no vaccine) to less than 1. The same result happens in India case where the maximum reproductive number in this case is 3.38. To achieve the same infected level of both countries, the simulation shows that with the same vaccine's efficiency the US needs a higher vaccination rate per day. Without vaccines for this pandemic, the model shows that a few percentages of the populations will suffering from the disease in the long term.
这项工作旨在构建并分析一个针对新冠肺炎的数学模型,该模型的主要参数包括疫苗接种率、预防性和治疗性疫苗的有效性。研究了该模型的全局稳定性和局部稳定性,并进行了数值模拟。对平衡点的局部稳定性进行了分类。构建了一个李雅普诺夫函数来分析无病平衡点的全局稳定性。模拟部分基于美国和印度这两种情况。在美国的情形下,结果表明,以美国人口每天0.1%的疫苗接种率以及预防性和治疗性疫苗至少20%的有效性,再生数从2.99(无疫苗时)降至小于1。在印度的情况中也是如此,这种情况下的最大再生数为3.38。为使两国达到相同的感染水平,模拟表明,在疫苗效率相同的情况下,美国每天需要更高的疫苗接种率。对于这种大流行病,如果没有疫苗,该模型表明从长期来看,会有百分之几的人口感染这种疾病。