Understanding COVID-19 propagation: a comprehensive mathematical model with Caputo fractional derivatives for Thailand

Shamil E, Sayooj Aby Jose, Sayooj Aby Jose,Hasan S. Panigoro,Anuwat Jirawattanapanit, Benjamin I. Omede,Zakaria Yaagoub

Frontiers in Applied Mathematics and Statistics(2024)

引用 0|浏览0
暂无评分
摘要
This research introduces a sophisticated mathematical model for understanding the transmission dynamics of COVID-19, incorporating both integer and fractional derivatives. The model undergoes a rigorous analysis, examining equilibrium points, the reproduction number, and feasibility. The application of fixed point theory establishes the existence of a unique solution, demonstrating stability in the model. To derive approximate solutions, the generalized Adams-Bashforth-Moulton method is employed, further enhancing the study's analytical depth. Through a numerical simulation based on Thailand's data, the research delves into the intricacies of COVID-19 transmission, encompassing thorough data analysis and parameter estimation. The study advocates for a holistic approach, recommending a combined strategy of precautionary measures and home remedies, showcasing their substantial impact on pandemic mitigation. This comprehensive investigation significantly contributes to the broader understanding and effective management of the COVID-19 crisis, providing valuable insights for shaping public health strategies and guiding individual actions.
更多
查看译文
关键词
mathematical modeling,epidemiology,COVID-19,fractional differential equation (FDE),Caputo fractional,ABM method
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要