Understanding the oscillations of an epidemic due to vaccine hesitancy

被引:0
作者
Morciglio, Anthony [1 ]
Zia, R.K.P. [2 ,3 ]
Hyman, James M. [4 ]
Jiang, Yi [1 ]
机构
[1] Department of Mathematics and Statistics, Georgia State University, Atlanta, 30303, GA
[2] Center for Soft Matter and Biological Physics, Department of Physics, Virginia Tech, Blacksburg, 24061, VA
[3] Department of Physics, University of Houston, Houston, 77204, TX
[4] Department of Mathematics, Tulane University, New Orleans, 70118, LA
基金
美国国家卫生研究院;
关键词
COVID-19; oscillations; SIS; SIV; vaccination game theory; vaccine hesitancy;
D O I
10.3934/mbe.2024299
中图分类号
学科分类号
摘要
Vaccine hesitancy threatens to reverse the progress in tackling vaccine-preventable diseases. We used an S IS model with a game theory model for vaccination and parameters from the COVID-19 pandemic to study how vaccine hesitancy impacts epidemic dynamics. The system showed three asymptotic behaviors: total rejection of vaccinations, complete acceptance, and oscillations. With increasing fear of infection, stable endemic states become periodic oscillations. Our results suggest that managing fear of infection relative to vaccination is vital to successful mass vaccinations. © 2024 The Authors(s), licensee AIMS Press.
引用
收藏
页码:6829 / 6846
页数:17
相关论文
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