Understanding the oscillations of an epidemic due to vaccine hesitancy

Vaccine hesitancy threatens to reverse the progress in tackling vaccine-preventable diseases. We used an $ SIS $ 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 behav...

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Bibliographic Details
Published inMathematical biosciences and engineering : MBE Vol. 21; no. 8; pp. 6829 - 6846
Main Authors Morciglio, Anthony, Zia, R K P, Hyman, James M, Jiang, Yi
Format Journal Article
LanguageEnglish
Published United States 09.08.2024
Subjects
Computer Simulation
COVID-19 - epidemiology
COVID-19 - prevention & control
COVID-19 Vaccines - administration & dosage
Epidemics - prevention & control
Fear
Game Theory
Humans
Mass Vaccination - psychology
Mass Vaccination - statistics & numerical data
Pandemics - prevention & control
SARS-CoV-2
Vaccination - psychology
Vaccination Hesitancy - psychology
Vaccination Hesitancy - statistics & numerical data
COVID-19
vaccine hesitancy
SIV
vaccination game theory
SIS
oscillations
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Summary:Vaccine hesitancy threatens to reverse the progress in tackling vaccine-preventable diseases. We used an $ SIS $ 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:1551-0018
1551-0018
DOI:10.3934/mbe.2024299