A Stochastic Model to Assess the Epidemiological Impact of Vaccine Booster Doses on COVID-19 and Viral Hepatitis B Co-Dynamics with Real Data  

作　　者：Andrew Omame Mujahid Abbas Dumitru Baleanu 

机构地区：[1]Department of Mathematics,Federal University of Technology,Owerri,460114,Nigeria [2]Abdus Salam School of Mathematical Sciences,Government College University,Lahore,54000,Pakistan [3]Department of Mathematics,Government College University,Lahore,54000,Pakistan [4]Department of Computer Science and Mathematics,Labanese American University,Beirut,Lebanon [5]Institute of Space Sciences,Magurele-Bucharest,Romania [6]Department of Medical Research,China Medical University Hospital,China Medical University,Taichung,40402,Taiwan

出　　处：《Computer Modeling in Engineering & Sciences》2024年第3期2973-3012,共40页工程与科学中的计算机建模（英文）

摘　　要：A patient co-infected with COVID-19 and viral hepatitis B can be atmore risk of severe complications than the one infected with a single infection.This study develops a comprehensive stochastic model to assess the epidemiological impact of vaccine booster doses on the co-dynamics of viral hepatitis B and COVID-19.The model is fitted to real COVID-19 data from Pakistan.The proposed model incorporates logistic growth and saturated incidence functions.Rigorous analyses using the tools of stochastic calculus,are performed to study appropriate conditions for the existence of unique global solutions,stationary distribution in the sense of ergodicity and disease extinction.The stochastic threshold estimated from the data fitting is given by:R_(0)^(S)=3.0651.Numerical assessments are implemented to illustrate the impact of double-dose vaccination and saturated incidence functions on the dynamics of both diseases.The effects of stochastic white noise intensities are also highlighted.

关 键 词：Viral hepatitis B COVID-19 stochastic model EXTINCTION ERGODICITY real data 

分 类 号：O17[理学—数学]