Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Modelling Medical Resources for a Stochastic Epidemic Model With Vaccination Concerning High-Risk Infectious Diseases

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345394,
        author={Yuanmei  Dong and Jin  Yang},
        title={Modelling Medical Resources for a Stochastic Epidemic Model With Vaccination Concerning High-Risk Infectious Diseases},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={stochastic epidemic model vaccination limited medical resources resource allocation},
        doi={10.4108/eai.15-12-2023.2345394}
    }
    
  • Yuanmei Dong
    Jin Yang
    Year: 2024
    Modelling Medical Resources for a Stochastic Epidemic Model With Vaccination Concerning High-Risk Infectious Diseases
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345394
Yuanmei Dong1, Jin Yang1,*
  • 1: Chongqing Jiaotong University
*Contact email: seehom@126.com

Abstract

In this paper, a stochastic epidemic model including the time since vaccination (vaccine-age) in the presence of high-risk infectious diseases is formulated and studied. The stationary distribution and ergodicity of the proposed model are investigated. The results suggest that with treatments triaged between high-risk and low-risk infectious diseases, reasonable allocations of medical resources can accelerate the extinction of diseases and, also, that large random fluctuations favor the extinction of the diseases.