Positive and negative effects of social impact on evolutionary vaccination game in networks

被引:25
作者
Ichinose, Genki [1 ]
Kurisaku, Takehiro [2 ]
机构
[1] Shizuoka Univ, Dept Math & Syst Engn, Hamamatsu, Shizuoka 4328561, Japan
[2] Anan Natl Coll Technol, 265 Aoki Minobayashi, Anan, Tokushima 7740017, Japan
关键词
Vaccination dilemma; Epidemic spreading; Social impact; Evolutionary game; Network; DOUBLE-EDGED-SWORD; IMITATION DYNAMICS; BEHAVIOR; SIMULATION;
D O I
10.1016/j.physa.2016.10.017
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Preventing infectious disease like flu from spreading to large communities is one of the most important issues for humans. One effective strategy is voluntary vaccination, however, there is always the temptation for people refusing to be vaccinated because once herd immunity is achieved, infection risk is greatly reduced. In this paper, we study the effect of social impact on the vaccination behavior resulting in preventing infectious disease in networks. The evolutionary simulation results show that the social impact has both positive and negative effects on the vaccination behavior. Especially, in heterogeneous networks, if the vaccination cost is low the behavior is more promoted than the case without social impact. In contrast, if the cost is high, the behavior is reduced compared to the case without social impact. Moreover, the vaccination behavior is effective in heterogeneous networks more than in homogeneous networks. This implies that the social impact puts people at risk in homogeneous networks. We also evaluate the results from the social cost related to the vaccination policy. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:84 / 90
页数:7
相关论文
共 39 条
[1]  
[Anonymous], PLOS COMPUT BIOL
[2]  
Ballobas B, 1985, RANDOM GRAPHS
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]   Evolutionary Game Theory and Social Learning Can Determine How Vaccine Scares Unfold [J].
Bauch, Chris T. ;
Bhattacharyya, Samit .
PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (04)
[5]   Imitation dynamics predict vaccinating behaviour [J].
Bauch, CT .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2005, 272 (1573) :1669-1675
[6]   Vaccination and the theory of games [J].
Bauch, CT ;
Earn, DJD .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (36) :13391-13394
[7]   Group interest versus self-interest in smallpox vaccination policy [J].
Bauch, CT ;
Galvani, AP ;
Earn, DJD .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (18) :10564-10567
[8]   Current concepts - Avian influenza A (H5N1) infection in humans [J].
Beigel, H ;
Farrar, H ;
Han, AM ;
Hayden, FG ;
Hyer, R ;
de Jong, MD ;
Lochindarat, S ;
Tien, NTK ;
Hien, NT ;
Hien, TT ;
Nicoll, A ;
Touch, S ;
Yuen, KY .
NEW ENGLAND JOURNAL OF MEDICINE, 2005, 353 (13) :1374-1385
[9]   A game dynamic model for delayer strategies in vaccinating behaviour for pediatric infectious diseases [J].
Bhattacharyya, Samit ;
Bauch, C. T. .
JOURNAL OF THEORETICAL BIOLOGY, 2010, 267 (03) :276-282
[10]   Mean-field analysis of an inductive reasoning game: Application to influenza vaccination [J].
Breban, Romulus ;
Vardavas, Raffaele ;
Blower, Sally .
PHYSICAL REVIEW E, 2007, 76 (03)