Investigating vaccination behavior and disease dynamics of a time-delayed two-strain epidemic model: An evolutionary approach

DOI 機関リポジトリ (HANDLE) オープンアクセス
  • Md. Mamun-Ur-Rashid Khan
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Department of Mathematics, University of Dhaka
  • Md. Rajib Arefin
    Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Department of Mathematics, University of Dhaka
  • Tanimoto Jun
    Department of Advanced Environmental Science and Engineering, Faculty of Engineering Sciences, Kyushu University Department of Mathematics, University of Dhaka

説明

The emergence of a new strain during a pandemic, like the present COVID-19, is a serious concern to the healthcare system. The most effective strategy to control this pandemic is vaccination. Many studies suggest that vaccine efficacy against the new strain may reduce. Additionally, the new strain’s late arrival has a significant impact on the disease dynamics and vaccine coverage. Focusing on these issues, this study presents a two-strain epidemic model along with two vaccination provisions based on human behavior dynamics, in which the new strain appears with a time delay. Individuals can commit vaccination before and after being infected with strain 1 and both vaccinated and non-vaccinated individuals can be infected with strain 2. Our findings suggested that delaying the second strain increases the overall vaccination coverage and reduces the peak size of the infected individuals.

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詳細情報 詳細情報について

  • CRID
    1390012932641771008
  • DOI
    10.5109/5909084
  • HANDLE
    2324/5909084
  • ISSN
    24341436
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • IRDB
    • Crossref
    • OpenAIRE
  • 抄録ライセンスフラグ
    使用可

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