Physica A: Statistical Mechanics and its Applications ( IF 3.3 ) Pub Date : 2021-07-26 , DOI: 10.1016/j.physa.2021.126281 Jianwei Wang 1 , Wenshu Xu 1 , Wei Chen 1 , Fengyuan Yu 1 , Jialu He 1
It is known that the vaccination is essential for suppressing the periodic prevalence of an infectious disease, while the vaccination decision is influenced by external factors. Whether or not to take vaccination depends not only on the expected benefit of individual, but also on the behavior of others. Nowadays, the speed of information transmission on the social media is fast with wide range, which extremely expands the scope of imitation, but it is unknown whether it is beneficial to vaccination. Inspired by this situation, a vaccination game model on two-layer network which increases the intensity of information sharing is proposed. The vaccination game layer and the information sharing layer are established to study the interaction between individual vaccination decisions and strategic exchanges. We find that although information sharing has inhibited individual vaccination decisions to some extent, the overall scale of disease spreading in society has decreased with increasing information sharing.
中文翻译:
信息共享可以抑制流行病的传播:两层网络上的自愿疫苗接种博弈
众所周知,疫苗接种对于抑制传染病的周期性流行至关重要,而疫苗接种的决定受外部因素的影响。是否接种疫苗不仅取决于个人的预期收益,还取决于他人的行为。如今,社交媒体上信息传播速度快、范围广,极大地扩大了模仿范围,但是否有利于疫苗接种尚不得而知。受这种情况的启发,提出了一种增加信息共享强度的两层网络上的疫苗接种博弈模型。建立疫苗接种博弈层和信息共享层,研究个体疫苗接种决策与战略交流之间的相互作用。