The aim of this work is to develop a new Reservoir People (RP) transmission mathematical model, to simulate the potential transmission of COVID-19 virus and Delta variant in the Moroccan population during the vaccination period. The originality of this work resides in the fact that the different parameters that appear in the model problem, depend on the period of vaccination. The existence and uniqueness of non-negative normalized solutions are proved. A cost function to minimize with respect to the parameters is defined. To this aim, a novel hybrid algorithm, called Neural Network with Sine-Cosine algorithm (NNSCA) is proposed. The obtained numerical simulation confirms that our model is robust and can efficiently predict the evolution of the virus in Morocco during the vaccination period.

Fatima Aqel

MATHEMATICAL MODEL OF COVID-19 TRANSMISSIBILITY DURING THE VACCINATION PERIOD

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Category	Quartile
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS	4