The Impact of Imitation on Vaccination Behavior in Social Contact Networks
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Previous game-theoretic studies of vaccination behavior typically have often assumed that populations are homogeneously mixed and that individuals are fully rational. In reality, there is heterogeneity in the number of contacts per individual, and individuals tend to imitate others who appear to have adopted successful strategies. Here, we use network-based mathematical models to study the effects of both imitation behavior and contact heterogeneity on vaccination coverage and disease dynamics. We integrate contact network epidemiological models with a framework for decision-making, within which individuals make their decisions either based purely on payoff maximization or by imitating the vaccination behavior of a social contact. Simulations suggest that when the cost of vaccination is high imitation behavior may decrease vaccination coverage. However, when the cost of vaccination is small relative to that of infection, imitation behavior increases vaccination coverage, but, surprisingly, also increases the magnitude of epidemics through the clustering of non-vaccinators within the network. Thus, imitation behavior may impede the eradication of infectious diseases. Calculations that ignore behavioral clustering caused by imitation may significantly underestimate the levels of vaccination coverage required to attain herd immunity.
Martial L. Ndeffo Mbah is with Yale University School of Medicine, Jingzhou Liu is with Yale University School of Medicine, Chris T. Bauch is with University of Guelph, Yonas I. Tekel is with Yale University School of Medicine, Jan Medlock is with Clemson University and Oregon State University, Lauren Ancel Meyers is with UT Austin and the Santa Fe Institute, Alison P. Galvani is with Yale University School of Medicine.
xmlui.dri2xhtml.METS-1.0.item-citationNdeffo Mbah ML, Liu J, Bauch CT, Tekel YI, Medlock J, et al. (2012) The Impact of Imitation on Vaccination Behavior in Social Contact Networks. PLoS Comput Biol 8(4): e1002469. doi:10.1371/journal.pcbi.1002469
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