Modeling the impact of Obesity on Covid-19 dynamics : A stochastic and deterministic models

Maroua Amel Boubekeur\(^{a,∗}\), Omar Belhamiti\(^a\)

\(^a\)Department of Mathematics and Computer Science, University of Mostaganem, Algeria.

Correspondence should be addressed to: maroua.boubekeur.etu@univ-mosta.dz, omar.belhamiti@univ-mosta.dz

Copyright © 2024 Maroua Amel Boubekeur, Omar Belhamiti. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published: Received: 26 April 2024 Accepted: 04 June 2024; Published Online: 10 June 2024

Abstract

We have witnessed that the Covid-19 epidemic in obese people, one of the epidemic diseases that is one of the important problems, has seriously affected the whole world. It is important to keep alive the concern that other epidemics may occur and to investigate the scientific approaches that may be necessary to predict the future of the epidemic.This study proposes a novel Covid-19 model that takes into account both infected individuals and specifically obese infected individuals. For the proposed model, deterministic and stochastic versions of the model have been presented, While for the stochastic model existence-uniqueness proofs . In addition, the existence of global positive solutions for the stochastic model and the conditions under which the disease becomes extinct in the population are presented. In addition to providing an insight into deterministic and stochastic approaches to the Covid-19 outbreak, these approaches have been simulated with graphical representations.

Keywords:

Deterministic model ; Numerical simulation