Abstract
In this paper, we focus on identifying the transmission rate associated with a COVID-19 mathematical model by using a predefined prevalence function. To do so, we use a Python code to extract the Lagrange interpolation polynomial from real daily data corresponding to an appropriate period in Morocco. The existence of a perfect control scheme is demonstrated. The Pontryagin maximum technique is used to explain these optimal controls. The optimality system is numerically solved using the 4th-order Runge-Kutta approximation.
Original language | English |
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Pages (from-to) | 23500-23518 |
Number of pages | 19 |
Journal | AIMS Mathematics |
Volume | 8 |
Issue number | 10 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Keywords
- COVID-19
- Lagrange interpolation
- inverse problem
- numerical method
- optimal control