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

Domain:

healthcare

Record type:

paper

Creator:

MarAbdMosKam

Publisher:

Ame

Host:

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.

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