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Mathematical Modelling of the Spatial Epidemiology of COVID-19 with Different Diffusion Coefficients.
- Source :
- International Journal of Differential Equations; 11/15/2022, p1-26, 26p
- Publication Year :
- 2022
-
Abstract
- This paper addresses the discrepancy between model findings and field data obtained and how it is minimized using the binning smoothing techniques: means, medians, and boundaries. Employing both the quantitative and the qualitative methods to examine the complex pattern involved in COVID-19 transmission dynamics reveals model variation and provides a boundary signature for the potential of the disease's future spread across the country. To better understand the main underlying factor responsible for the epidemiology of COVID-19 infection in Ghana, the continuous inflow of foreigners, both with and without the disease, was incorporated into the classical Susceptible-Exposed-Quarantined-Recovered SEIQR model, which revealed the spread of the COVID-19 by these foreigners. Also, the diffusion model provided therein gives a threshold condition for the spatial spread of the COVID-19 infection in Ghana. Following the introduction of a new method for the construction of the Lyapunov function for global stability of the nonlinear system of ODEs was observed, overcoming the problem of guessing for the Lyapunov function. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16879643
- Database :
- Complementary Index
- Journal :
- International Journal of Differential Equations
- Publication Type :
- Academic Journal
- Accession number :
- 160241765
- Full Text :
- https://doi.org/10.1155/2022/7563111