Miyoshi Soya, Jusup Marko, Holme Petter
Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
J Comput Soc Sci. 2021;4(2):709-720. doi: 10.1007/s42001-021-00105-z. Epub 2021 Feb 14.
The decision of whether or not to vaccinate is a complex one. It involves the contribution both to a social good-herd immunity-and to one's own well-being. It is informed by social influence, personal experience, education, and mass media. In our work, we investigate a situation in which individuals make their choice based on how social neighbourhood responded to previous epidemics. We do this by proposing a minimalistic model using components from game theory, network theory and the modelling of epidemic spreading, and opinion dynamics. Individuals can use the information about the neighbourhood in two ways-either they follow the majority or the best-performing neighbour. Furthermore, we let individuals learn which of these two decision-making strategies to follow from their experience. Our results show that the flexibility of individuals to choose how to integrate information from the neighbourhood increases the vaccine uptake and decreases the epidemic severity if the following conditions are fulfilled. First, the initial fraction of individuals who imitate the neighbourhood majority should be limited, and second, the memory of previous outbreaks should be sufficiently long. These results have implications for the acceptance of novel vaccines and raising awareness about vaccination, while also pointing to promising future research directions.
是否接种疫苗的决定是一个复杂的问题。它既涉及对社会公益——群体免疫——的贡献,也关乎个人福祉。它受到社会影响、个人经历、教育程度和大众媒体的影响。在我们的研究中,我们考察了一种情况,即个体根据社交邻里对先前疫情的反应来做出选择。我们通过使用博弈论、网络理论、疫情传播建模和舆论动态等要素提出一个简约模型来做到这一点。个体可以通过两种方式利用邻里信息——要么跟随多数人,要么跟随表现最佳的邻居。此外,我们让个体从自身经验中学习应遵循这两种决策策略中的哪一种。我们的结果表明,如果满足以下条件,个体选择如何整合邻里信息的灵活性会提高疫苗接种率并降低疫情严重程度。首先,模仿邻里多数人的个体的初始比例应受到限制,其次,对先前疫情爆发的记忆应足够长。这些结果对新型疫苗的接受度和提高疫苗接种意识具有启示意义,同时也指出了未来有前景的研究方向。