Vaccination dilemma on an evolving social network

被引:16
|
作者
Wei, Yuting [1 ]
Lin, Yaosen [2 ]
Wu, Bin [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Sch Sci, Beijing 100876, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China
关键词
Vaccination; Dynamical social network; Selection intensity; IMITATION DYNAMICS; HERD-IMMUNITY; POPULATION; MODEL; BEHAVIOR;
D O I
10.1016/j.jtbi.2019.08.009
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Vaccination is crucial for the control of epidemics. Yet it is a social dilemma since non-vaccinators benefit from the herd immunity created by the vaccinators. Thus the optimum vaccination level is not reached via voluntary vaccination at times. Social networks have been shown to dramatically alter the vaccination behavior. The underlying network, however, is often assumed to be static, neglecting the dynamical nature of social networks. We address how the dynamics of networks have an impact on the vaccination behavior. We reveal the conditions of the social link rewiring to enhance the vaccination level. We find that the selection intensity can dramatically alter the vaccination level. In addition, we show that vaccination on evolving social network is equivalent to the vaccination in well-mixed population with a resealed basic reproductive ratio. All the results are based on mean-field approximations verified by simulations. Our results highlight the dynamical nature of social network on the vaccination behavior, and can be insightful for the epidemic control. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:10
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