Evolutionary vaccination dynamics in epidemic spreading process with public subsidy mechanism

Guomei Tang and Weifang Ma ()
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Guomei Tang: Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, P. R. China†School of Mathematics and Computer Science Institute, Northwest Minzu University, Lanzhou, Gansu 730000, P. R. China
Weifang Ma: #x2020;School of Mathematics and Computer Science Institute, Northwest Minzu University, Lanzhou, Gansu 730000, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 12, 1-11

Abstract: This paper presents an internal public subsidy mechanism, in which the population themselves subsidize the vaccinated individuals, to study the evolutionary vaccination dynamics in the epidemic spreading process. By means of theoretical analysis and extensive computer simulations, we show that the mechanism can effectively enhance the vaccine coverage and significantly make many persons still choose vaccination when the vaccination cost is nearly or even more than the infection cost. In addition, we prove that there exists a lower bound of vaccine coverage controlled by our proposed mechanism. The overall results are robust to the typical synthetic and real-world networks.

Keywords: Epidemic spreading; vaccination; evolutionary dynamics; complex networks (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0129183118501243

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