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Modeling the Interplay Between Seasonal Flu Outcomes and Individual Vaccination Decisions
Name
11538_2021_988_ReferencePDF.pdf
Size
1.02 MB
Format
Adobe PDF
Checksum (MD5)
4318420c103bceeba308dc35e8714e79
Author(s)
Papst, Irena
O’Keeffe, Kevin P.
Strogatz, Steven H.
Date Issued
January 31, 2022
Publisher
Springer US
Citation
Bulletin of Mathematical Biology. 2022 Jan 31;84(3):36
Version
Author's final manuscript
Abstract
Abstract
Seasonal influenza presents an ongoing challenge to public health. The rapid evolution of the flu virus necessitates annual vaccination campaigns, but the decision to get vaccinated or not in a given year is largely voluntary, at least in the USA, and many people decide against it. In some early attempts to model these yearly flu vaccine decisions, it was often assumed that individuals behave rationally, and do so with perfect information—assumptions that allowed the techniques of classical economics and game theory to be applied. However, these assumptions are not fully supported by the emerging empirical evidence about human decision-making behavior in this context. We develop a simple model of coupled disease spread and vaccination dynamics that instead incorporates experimental observations from social psychology to model annual vaccine decision-making more realistically. We investigate population-level effects of these new decision-making assumptions, with the goal of understanding whether the population can self-organize into a state of herd immunity, and if so, under what conditions. Our model agrees with the established results while also revealing more subtle population-level behavior, including biennial oscillations about the herd immunity threshold.
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s11538-021-00988-z
