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

Md Mamun Ur Rashid Khan, Md Rajib Arefin, Jun Tanimoto

研究成果: ジャーナルへの寄稿会議記事査読

4 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)147-154
ページ数8
ジャーナルInternational Exchange and Innovation Conference on Engineering and Sciences
DOI
出版ステータス出版済み - 2022
イベント8th International Exchange and Innovation Conference on Engineering and Sciences, IEICES 2022 - Fukuoka, 日本
継続期間: 10月 20 202210月 21 2022

!!!All Science Journal Classification (ASJC) codes

  • 一般

フィンガープリント

「Investigating vaccination behavior and disease dynamics of a time-delayed two-strain epidemic model: An evolutionary approach」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル