Inverse problem to elaborate and control the spread of COVID-19: A case study from Morocco

Marouane Karim, Abdelfatah Kouidere, Mostafa Rachik, Kamal Shah, Thabet Abdeljawad*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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 languageEnglish
Pages (from-to)23500-23518
Number of pages19
JournalAIMS Mathematics
Volume8
Issue number10
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • COVID-19
  • Lagrange interpolation
  • inverse problem
  • numerical method
  • optimal control

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