A comparative study of deterministic and stochastic computational modeling approaches for analyzing and optimizing COVID-19 control

A comparative study of deterministic and stochastic computational modeling approaches for analyzing and optimizing COVID-19 control

Abstract This paper presents a comparative analysis of deterministic and stochastic computational modeling approaches for the optimal control of COVID-19. We formulate a compartmental epidemic model with perturbation by white noise that incorporates various factors influencing disease transmission....

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Bibliographic Details
Main Authors: Abdeldjalil Kadri, Ahmed Boudaoui, Saif Ullah, Mohammed Asiri, Abdul Baseer Saqib, Muhammad Bilal Riaz
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
COVID-19 stochastic modeling
Extinction
Stationary distribution
Stochastic optimized control
Simulation
Online Access:https://doi.org/10.1038/s41598-025-96127-y
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https://doi.org/10.1038/s41598-025-96127-y

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