journal article·2022-08-24Open access

Analysis of a Stochastic SICR Epidemic Model Associated with the Lévy Jump

Hari M. Srivastava, Jaouad Danane

Applied Sciences· Volume 12· Issue 17

Abstract

We propose and study a Susceptible-Infected-Confined-Recovered (SICR) epidemic model. For the proposed model, the driving forces include (for example) the Brownian motion processes and the jump Lévy noise. Usually, in the existing literature involving epidemiology models, the Lévy noise perturbations are ignored. However, in view of the presence of strong fluctuations in the SICR dynamics, it is worth including these perturbations in SICR epidemic models. Quite frequently, this results in several discontinuities in the processes under investigation. In our present study, we consider our SICR model after justifying its used form, namely, the component related to the Lévy noise. The existence and uniqueness of a global positive solution is established. Under some assumptions, we show the extinction and the persistence of the infection. In order to give some numerical simulations, we illustrate a new numerical method to validate our theoretical findings.
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Research context

OpenAlex topics: Mathematical and Theoretical Epidemiology and Ecology Models · COVID-19 epidemiological studies · Evolution and Genetic Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mathematics and Statistics, University of Victoria, Victoria, BC V8W 3R4, Canada

Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan

Department of Mathematics and Informatics, Azerbaijan University, 71 Jeyhun Hajibeyli Street, AZ1007 Baku, Azerbaijan

Section of Mathematics, International Telematic University Uninettuno, I-00186 Rome, Italy

Laboratory of Systems Modelization and Analysis for Decision Support, National School of Applied Sciences, Hassan First University of Settat, Berrechid 26100, Morocco

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