Kumar Sunil, Kumar Ranbir, Momani Shaher, Hadid Samir
Department of Mathematics National Institute of Technology Jamshedpur Jharkhand India.
Nonlinear Dynamics Research Center (NDRC) Ajman University Ajman UAE.
Math Methods Appl Sci. 2021 Feb 7. doi: 10.1002/mma.7065.
The preeminent target of present study is to reveal the speed characteristic of ongoing outbreak COVID-19 due to novel coronavirus. On January 2020, the novel coronavirus infection (COVID-19) detected in India, and the total statistic of cases continuously increased to 7 128 268 cases including 109 285 deceases to October 2020, where 860 601 cases are active in India. In this study, we use the Hermite wavelets basis in order to solve the COVID-19 model with time- arbitrary Caputo derivative. The discussed framework is based upon Hermite wavelets. The operational matrix incorporated with the collocation scheme is used in order to transform arbitrary-order problem into algebraic equations. The corrector scheme is also used for solving the COVID-19 model for distinct value of arbitrary order. Also, authors have investigated the various behaviors of the arbitrary-order COVID-19 system and procured developments are matched with exiting developments by various techniques. The various illustrations of susceptible, exposed, infected, and recovered individuals are given for its behaviors at the various value of fractional order. In addition, the proposed model has been also supported by some numerical simulations and wavelet-based results.
本研究的主要目标是揭示新型冠状病毒导致的正在爆发的COVID-19的传播速度特征。2020年1月,印度检测到新型冠状病毒感染(COVID-19),截至2020年10月,病例总数持续增加至7128268例,其中包括109285例死亡病例,印度有860601例活跃病例。在本研究中,我们使用埃尔米特小波基来求解具有时间任意阶Caputo导数的COVID-19模型。所讨论的框架基于埃尔米特小波。结合配置方案的运算矩阵用于将任意阶问题转化为代数方程。校正方案也用于求解任意阶不同值的COVID-19模型。此外,作者研究了任意阶COVID-19系统的各种行为,并通过各种技术将所取得的进展与现有进展进行了匹配。给出了易感、暴露、感染和康复个体在分数阶不同值时行为的各种图示。此外,所提出的模型还得到了一些数值模拟和基于小波的结果的支持。