A Stochastic Mathematical Model for Understanding the COVID-19 Infection Using Real Data

A Stochastic Mathematical Model for Understanding the COVID-19 Infection Using Real Data

Natural symmetry exists in several phenomena in physics, chemistry, and biology. Incorporating these symmetries in the differential equations used to characterize these processes is thus a valid modeling assumption. The present study investigates COVID-19 infection through the stochastic model. We c...

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Bibliographic Details
Main Authors: Fehaid Salem Alshammari, Fahir Talay Akyildiz, Muhammad Altaf Khan, Anwarud Din, Pongsakorn Sunthrayuth
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Symmetry
Subjects:
stochastic COVID-19 mathematical model
real data
stability results
parameters estimations
numerical results
Online Access:https://www.mdpi.com/2073-8994/14/12/2521

Internet

https://www.mdpi.com/2073-8994/14/12/2521

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