Suppr超能文献

通过分数阶导数模拟疫苗对新冠疫情传播的影响。

Modeling the impact of the vaccine on the COVID-19 epidemic transmission via fractional derivative.

作者信息

Arshad Sadia, Khalid Sadia, Javed Sana, Amin Naima, Nawaz Fariha

机构信息

Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, 54000 Pakistan.

Department of Physics, COMSATS University Islamabad, Lahore Campus, Lahore, 54000 Pakistan.

出版信息

Eur Phys J Plus. 2022;137(7):802. doi: 10.1140/epjp/s13360-022-02988-x. Epub 2022 Jul 11.

Abstract

To achieve the goal of ceasing the spread of COVID-19 entirely it is essential to understand the dynamical behavior of the proliferation of the virus at an intense level. Studying this disease simply based on experimental analysis is very time consuming and expensive. Mathematical modeling might play a worthy role in this regard. By incorporating the mathematical frameworks with the available disease data it will be beneficial and economical to understand the key factors involved in the spread of COVID-19. As there are many vaccines available globally at present, henceforth, by including the effect of vaccination into the model will also support to understand the visible influence of the vaccine on the spread of COVID-19 virus. There are several ways to mathematically formulate the effect of disease on the population like deterministic modeling, stochastic modeling or fractional order modeling etc. Fractional order derivative modeling is one of the fundamental methods to understand real-world problems and evaluate accurate situations. In this article, a fractional order epidemic model on the spread of COVID-19 is presented. consists of eight compartments of population namely susceptible, exposed, infective, recovered, the quarantine population, recovered-exposed, and dead population. The fractional order derivative is considered in the Caputo sense. For the prophecy and tenacity of the epidemic, we compute the reproduction number . Using fixed point theory, the existence and uniqueness of the solutions of fractional order derivative have been studied. Furthermore, we are using the generalized Adams-Bashforth-Moulton method, to obtain the approximate solution of the fractional-order COVID-19 model. Finally, numerical results and illustrative graphic simulation are given. Our results suggest that to reduce the number of cases of COVID-19 we should reduce the contact rate of the people if the population is not fully vaccinated. However, to tackle the issue of reducing the social distancing and lock down, which have very negative impact on the economy as well as on the mental health of the people, it is much better to increase the vaccine rate and get the whole nation to be fully vaccinated.

摘要

为了完全实现阻止新冠病毒传播的目标,深入了解病毒增殖的动态行为至关重要。仅基于实验分析来研究这种疾病既耗时又昂贵。数学建模在这方面可能会发挥重要作用。通过将数学框架与现有的疾病数据相结合,理解新冠病毒传播所涉及的关键因素将既有益又经济。由于目前全球有多种疫苗可用,此后,将疫苗接种的影响纳入模型也将有助于理解疫苗对新冠病毒传播的显著影响。有几种方法可以从数学上描述疾病对人群的影响,如确定性建模、随机建模或分数阶建模等。分数阶导数建模是理解现实世界问题和评估准确情况的基本方法之一。本文提出了一个关于新冠病毒传播的分数阶流行病模型。该模型由八个种群 compartments 组成,即易感人群、暴露人群、感染人群、康复人群、隔离人群、康复 - 暴露人群和死亡人群。分数阶导数采用 Caputo 意义下的定义。为了预测和把握疫情,我们计算了再生数 。利用不动点理论,研究了分数阶导数解的存在性和唯一性。此外,我们使用广义亚当斯 - 巴什福思 - 莫尔顿方法来获得分数阶新冠病毒模型的近似解。最后给出了数值结果和说明性图形模拟。我们的结果表明,如果人群未完全接种疫苗,为了减少新冠病毒病例数,我们应该降低人们的接触率。然而,为了解决减少社交距离和封锁的问题,这对经济以及人们的心理健康都有非常负面影响,更好的做法是提高疫苗接种率并让全国人民都完全接种疫苗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d7e/9272881/ac580bbad4df/13360_2022_2988_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验