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  4. A mathematical study of the COVID-19 propagation through a stochastic epidemic model

A mathematical study of the COVID-19 propagation through a stochastic epidemic model

MMC.
2023;
Volume 10, Number 3
: pp. 784–795
https://doi.org/10.23939/mmc2023.03.784
Received: February 16, 2023
Revised: July 09, 2023
Accepted: July 12, 2023

Mathematical Modeling and Computing, Vol. 10, No. 3, pp. 784–795 (2023)

Authors:
  1. D. Kiouach
  2. S. E. A. El-idrissi
  3. Y. Sabbar
1
LPAIS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
2
LPAIS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
3
LPAIS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco

The COVID-19 is a major danger that threatens the whole world.  In this context, mathematical modeling is a very powerful tool for knowing more about how such a disease is transmitted within a host population of humans.  In this regard, we propose in the current study a stochastic epidemic model that describes the COVID-19 dynamics under the application of quarantine and coverage media strategies, and we give a rigorous mathematical analysis of this model to obtain an overview of COVID-19 dissemination behavior.

COVID-19
Brownian motion
stochastic epidemic model
coverage media
quarantine
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