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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Main Authors: Anthony Morciglio, R. K. P. Zia, James M. Hyman, Yi Jiang
Format: Article
Language:English
Published: AIMS Press 2024-08-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024299
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author Anthony Morciglio
R. K. P. Zia
James M. Hyman
Yi Jiang
author_facet Anthony Morciglio
R. K. P. Zia
James M. Hyman
Yi Jiang
author_sort Anthony Morciglio
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1551-0018
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spelling doaj-art-e72c8a9c65e64cf1a9309cef222ad4282025-01-23T07:47:47ZengAIMS PressMathematical Biosciences and Engineering1551-00182024-08-012186829684610.3934/mbe.2024299Understanding the oscillations of an epidemic due to vaccine hesitancyAnthony Morciglio0R. K. P. Zia1James M. Hyman2Yi Jiang3Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USACenter for Soft Matter and Biological Physics, Department of Physics, Virginia Tech, Blacksburg, VA 24061, USADepartment of Mathematics, Tulane University, New Orleans, LA 70118, USADepartment of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USAVaccine 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.https://www.aimspress.com/article/doi/10.3934/mbe.2024299vaccine hesitancyvaccination game theoryoscillationscovid-19$ sis $$ siv $
spellingShingle Anthony Morciglio
R. K. P. Zia
James M. Hyman
Yi Jiang
Understanding the oscillations of an epidemic due to vaccine hesitancy
Mathematical Biosciences and Engineering
vaccine hesitancy
vaccination game theory
oscillations
covid-19
$ sis $
$ siv $
title Understanding the oscillations of an epidemic due to vaccine hesitancy
title_full Understanding the oscillations of an epidemic due to vaccine hesitancy
title_fullStr Understanding the oscillations of an epidemic due to vaccine hesitancy
title_full_unstemmed Understanding the oscillations of an epidemic due to vaccine hesitancy
title_short Understanding the oscillations of an epidemic due to vaccine hesitancy
title_sort understanding the oscillations of an epidemic due to vaccine hesitancy
topic vaccine hesitancy
vaccination game theory
oscillations
covid-19
$ sis $
$ siv $
url https://www.aimspress.com/article/doi/10.3934/mbe.2024299
work_keys_str_mv AT anthonymorciglio understandingtheoscillationsofanepidemicduetovaccinehesitancy
AT rkpzia understandingtheoscillationsofanepidemicduetovaccinehesitancy
AT jamesmhyman understandingtheoscillationsofanepidemicduetovaccinehesitancy
AT yijiang understandingtheoscillationsofanepidemicduetovaccinehesitancy