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

Authors :
E, Shamil
Jose, Sayooj Aby
Panigoro, Hasan S.
Jirawattanapanit, Anuwat
Omede, Benjamin I.
Yaagoub, Zakaria
Jan, Rashid
Qelik, Ercan
Source :
Frontiers in Applied Mathematics & Statistics; 2024, p1-17, 17p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22974687
Database :
Complementary Index
Journal :
Frontiers in Applied Mathematics & Statistics
Publication Type :
Academic Journal
Accession number :
177415303
Full Text :
https://doi.org/10.3389/fams.2024.1374721