Vaccination behavior by coupling the epidemic spreading with the human decision under the game theory

Abstract When confronting the epidemics or pandemics, there often exists an interplay between epidemic incidence and the vaccination strategies of individuals. Recently, the characteristics of human behaviors, such as imitating nature or bandwagon effect, have been proven critical to the final herd immunity. In this paper, by establishing a two-layered multiplex network model which combines SIR epidemic process, vaccination decision-making and imitating human nature, we discover that imitating behavior would restrain the increase of herd immunity, which is verified by Monte Carlo simulations and mean-field equations, respectively. Interestingly, a suitable quantity of conformity motivated individual, counter-intuitively, could be beneficial to save the social costs. At the same time, we analytically determine the precise conditions for the minimum total social costs. The current results can help to understand the behavior of social group in depth and then explore public attitudes concerning the vaccine, which usually has a tremendous impact on social vaccine take-up within the population.

[1]  Pietro Liò,et al.  The Impact of Heterogeneity and Awareness in Modeling Epidemic Spreading on Multiplex Networks , 2016, Scientific Reports.

[2]  C. Watkins,et al.  The spread of awareness and its impact on epidemic outbreaks , 2009, Proceedings of the National Academy of Sciences.

[3]  Douglas Cochran,et al.  Conjoining Speeds up Information Diffusion in Overlaying Social-Physical Networks , 2011, IEEE Journal on Selected Areas in Communications.

[4]  Alessandro Vespignani,et al.  Epidemic spreading in scale-free networks. , 2000, Physical review letters.

[5]  David Saad,et al.  Optimal deployment of resources for maximizing impact in spreading processes , 2016, Proceedings of the National Academy of Sciences.

[6]  Marián Boguñá,et al.  Epidemic spreading on interconnected networks , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Jie Zhang,et al.  Community Size Effects on Epidemic Spreading in Multiplex Social Networks , 2016, PloS one.

[8]  Faryad Darabi Sahneh,et al.  Effect of coupling on the epidemic threshold in interconnected complex networks: A spectral analysis , 2012, 2013 American Control Conference.

[9]  Harry Eugene Stanley,et al.  Epidemics on Interconnected Networks , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  C. Bauch Imitation dynamics predict vaccinating behaviour , 2005, Proceedings of the Royal Society B: Biological Sciences.

[11]  Sergio Gómez,et al.  On the dynamical interplay between awareness and epidemic spreading in multiplex networks , 2013, Physical review letters.

[12]  Chengyi Xia,et al.  An SIR model with infection delay and propagation vector in complex networks , 2012 .

[13]  B. Bollobás The evolution of random graphs , 1984 .

[14]  Massimiliano Zanin,et al.  Modeling the multi-layer nature of the European Air Transport Network: Resilience and passengers re-scheduling under random failures , 2012, ArXiv.

[15]  Meggan E. Craft,et al.  Disease outbreak thresholds emerge from interactions between movement behavior, landscape structure, and epidemiology , 2018, Proceedings of the National Academy of Sciences.

[16]  Raffaele Vardavas,et al.  Can Influenza Epidemics Be Prevented by Voluntary Vaccination? , 2007, PLoS Comput. Biol..

[17]  Edward R. Dougherty,et al.  Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks , 2002, Bioinform..

[18]  Sepp Hochreiter,et al.  GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.

[19]  Attila Szolnoki,et al.  Imitate or innovate: competition of strategy updating attitudes in spatial social dilemma games , 2018 .

[20]  Dawei Zhao,et al.  Immunity of multiplex networks via acquaintance vaccination , 2015 .

[21]  Juan Wang,et al.  Roles of different update strategies in the vaccination behavior on two-layered networks , 2020 .

[22]  Alessandro Vespignani,et al.  Towards a Characterization of Behavior-Disease Models , 2011, PloS one.

[23]  Yamir Moreno,et al.  Effects of delayed recovery and nonuniform transmission on the spreading of diseases in complex networks , 2012, Physica A: Statistical Mechanics and its Applications.

[24]  Dunia López-Pintado,et al.  Diffusion in complex social networks , 2008, Games Econ. Behav..

[25]  C. Buono,et al.  Epidemics in Partially Overlapped Multiplex Networks , 2013, PloS one.

[26]  S. Blower,et al.  Mean-field analysis of an inductive reasoning game: application to influenza vaccination. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Alessandro Vespignani,et al.  Invasion threshold in heterogeneous metapopulation networks. , 2007, Physical review letters.

[28]  Tom Erez,et al.  Statistical Economics on Multi-Variable Layered Networks , 2005 .

[29]  Alessandro Vespignani,et al.  Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study , 2007, BMC medicine.

[30]  Alessandro Vespignani,et al.  Modeling human mobility responses to the large-scale spreading of infectious diseases , 2011, Scientific reports.

[31]  D. Earn,et al.  Vaccination and the theory of games. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[32]  N. Stollenwerk,et al.  Measles Outbreaks in a Population with Declining Vaccine Uptake , 2003, Science.

[33]  Antoine Allard,et al.  Modeling the dynamical interaction between epidemics on overlay networks , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  R. May,et al.  Dimensions of superspreading , 2005, Nature.

[35]  Z. Wang,et al.  The structure and dynamics of multilayer networks , 2014, Physics Reports.

[36]  Yangming Guo,et al.  Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties , 2019, Applied Mathematics and Computation.

[37]  Monica-Gabriela Cojocaru,et al.  Dynamic equilibria of group vaccination strategies in a heterogeneous population , 2008, J. Glob. Optim..

[38]  Daniel I. S. Rosenbloom,et al.  Imitation dynamics of vaccination behaviour on social networks , 2011, Proceedings of the Royal Society B: Biological Sciences.