Incorporating changeable attitudes toward vaccination into compartment models for infectious diseases
Resource type
Authors/contributors
- Jiang, Yi (Author)
- Kurianski, Kristin (Author)
- Lee, Jane (Author)
- Ma, Yanping (Author)
- Cicala, Daniel (Author)
- Ledder, Glenn (Author)
Title
Incorporating changeable attitudes toward vaccination into compartment models for infectious diseases
Abstract
We develop a mechanistic model that classifies individuals both in terms of epidemiological status (SIR) and vaccination attitude (Willing or Unwilling/Unable), with the goal of discovering how disease spread is influenced by changing opinions about vaccination. Analysis of the model identifies the existence and stability criteria for both disease-free and endemic disease equilibria. The analytical results, supported by numerical simulations, show that attitude changes induced by disease prevalence can destabilize endemic disease equilibria, resulting in limit cycles.
Publication
Mathematical Biosciences & Engineering
Publisher
Arizona State University
Date
2025-01-01
Volume
22
Issue
2
Pages
260-289
Citation Key
jiangIncorporatingChangeableAttitudes2025
ISSN
1547-1063
Language
en
Citation
Jiang, Y., Kurianski, K., Lee, J., Ma, Y., Cicala, D., & Ledder, G. (2025). Incorporating changeable attitudes toward vaccination into compartment models for infectious diseases. Mathematical Biosciences & Engineering, 22(2), 260–289. https://doi.org/10.3934/mbe.2025011
Department
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