COLLABORATIVE RESEARCH:Cross-national differences in vaccination as unselfish behavior

合作研究：疫苗接种方面的跨国差异是无私行为

• 批准号: 1227306
• 负责人: Gretchen Chapman
• 金额: $ 12.8万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1227306&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; Cross; national; differences

Concern for others may play a significant role in decision making. This research examines cross-national differences in the role that concern for others plays in vaccination decisions using surveys and psychological experiments. The research also examines the influence of this concern on predicted cross-national influenza vaccination rates through mathematical modeling. This interdisciplinary research integrates concepts, tools, and objectives from economics, psychology, mathematics, and epidemiology. The research involves an age-structured mathematical model of infectious-disease transmission. The model uses game theory to incorporate age-dependent vaccination decisions and statistical methods to estimate the probability that individuals will choose to vaccinate against influenza, based on responses to survey items on concern for others and perceptions of infection risk. Focusing on the USA, Japan, France, and China, this research assesses how contact patterns and influenza vaccination decision making vary across cultures and how they can inform nation-specific strategies to promote vaccination. The interface of biological systems, indivduals' decision making, and social and cultural influences illuminates the dynamic interplay between an infectious disease and social decision making. The research is likely to discover novel ways to increase vaccination coverage against influenza, as well as other diseases, by understanding pro-social tendencies.

对他人的关注可能在决策中发挥重要作用。这项研究研究了使用调查和心理实验在疫苗接种决策中扮演的角色的跨国差异。该研究还研究了这种关注者对通过数学建模的预测跨国流感疫苗接种率的影响。这项跨学科研究融合了经济学，心理学，数学和流行病学的概念，工具和目标。该研究涉及传染病传播的年龄结构化数学模型。该模型使用游戏理论来纳入依赖年龄的疫苗接种决策和统计方法，以估计个人选择接种疫苗对流感的概率，这是基于对其他人关注的调查项目的反应以及对感染风险的看法。这项研究专注于美国，日本，法国和中国，评估了如何在文化中进行接触模式和流感疫苗接种决策，以及如何为促进疫苗接种的国家特定策略提供信息。生物系统，独立的决策以及社会和文化影响的界面阐明了传染病与社会决策之间的动态相互作用。这项研究很可能通过理解亲社会倾向来发现新的方法来增加针对流感以及其他疾病的疫苗接种覆盖范围。