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.

Keywords
stochastic epidemic model vaccination limited medical resources resource allocation
Published
2024-05-13
Publisher
EAI
http://dx.doi.org/10.4108/eai.15-12-2023.2345394
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