The influence of age-age correlations on epidemic spreading in social network

Grabowski, Andrzej

doi:10.1140/epjb/e2014-50098-0

Cited by 3 publications

(1 citation statement)

References 30 publications

(34 reference statements)

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“…Wang et al [5] and Perc et al [6] reviewed rich researches on studying the complex interactions between vaccination behavior and epidemic dynamics. Moreover, many studies [7][8][9][10][11][12] have explored the factors that affect individual vaccination behavior. For example, Fu et al [8] investigated the role of individual imitation behavior and network structure in vaccination by integrating an epidemiological process into a simple agent-based model of a e-mail: lix@fudan.edu.cn adaptive learning.…”

Section: Introductionmentioning

confidence: 99%

Vaccinating SIS epidemics under evolving perception in heterogeneous networks

2020

Eur. Phys. J. B

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Vaccination is an effective intervention against epidemics. Previous work has demonstrated that psychological cognition affects individual behavior. However, perceptual differences between individuals, as well as the dynamics of perceptual evolution, are not taken into account. In order to explore how these realistic characteristics of psychological cognition influence collective vaccination behavior, we propose a prospect theory based evolutionary vaccination game model, where the evolution of reference points is used to characterize changes in perception. We compare the fractions of vaccinated individuals and infected individuals under variable reference points with those under the expected utility theory and the fixed reference point, and highlight the role of evolving perception in promoting vaccination and contributing to epidemic control. We find that the epidemic size under variable reference point is always less than that under the expected utility theory. Finding that there exists a vaccination cost threshold for the cognitive effect, we develop a novel mixed-reference-point mechanism by combining individual psychological characteristics with network topological feature. The effectiveness of this mechanism in controlling the network epidemics is verified with numerical simulations. Compared with pure reference points, the mixed-reference-point mechanism can effectively reduce the final epidemic size, especially at a large vaccination cost.

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