Evaluating the social influences that impact vaccination decisions

评估影响疫苗接种决策的社会影响

• 批准号: 8477594
• 负责人: ALISON P GALVANI
• 金额: $ 33.85万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-10 至 2018-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8477594
• 关键词: Adherence; Age; Behavior; Behavioral; Budgets; Communicable Diseases; Cost of Illness; Country; Data; Data Set; Decision Making; Disease Outbreaks; Economic Models; Economics; Ensure; Epidemiology; Equilibrium; Game Theory; Goals; Habits; Health; Health behavior; Household; Incentives; Individual; Influenza; Influenza vaccination; International; Intervention; Medical; Modeling; Morbidity - disease rate; Motivation; Outcome; Participant; Personal Satisfaction; Play; Policies; Population; Process; Public Health; Recommendation; Relative (related person); Research; Risk; Role; Shapes; Social Distance; Surveys; Time; Uncertainty; Vaccinated; Vaccination; age related; base; behavior influence; design; disease transmission; effective intervention; flu transmission; improved; influenza virus vaccine; insight; interest; mathematical model; mortality; network models; novel; preference; prevent; programs; psychologic; public health relevance; response; social; trait; transmission process; trend; vaccination strategy

DESCRIPTION (provided by applicant): A key to predicting medical decisions, such as vaccinations, is to understand individual behavior and its determinants, including self-interest and self-determined goals (desire to benefit oneself or enhance one's utility), prosociality (preferences for the well-being of others), imitation (imitating decisions of others), habitual behavior (tendency to repeat past actions), as well as time and budget constraints. As these behavioral factors influence vaccination decisions, they need to be incorporated into models of alternative vaccination strategies in order to provide policy decision-making guidance. Here, we propose to evaluate how behavioral factors shape influenza vaccination decisions, vary across nations, and can be used to inform vaccination strategies. To do so, we will use epidemiological-economic models including game theory and network models of influenza transmission, parameterized by psychological, economic and sociological data. Specifically, our transdisciplinary team will employ surveys, statistical analysis, and mathematical modeling to assess the interplay among decision-making processes of individuals, infectious disease transmission, and social influences in different countries. We will evaluate behavior, decision-making and epidemiological outcomes at multiple interrelated scales, including at the individual, household, age class, national, and population levels. Individual-level vaccination decisions can profoundly influence the fate of outbreaks, and thus have far reaching public health consequences for regional, national, and international populations. Understanding the factors underlying vaccination decisions and adherence to public health recommendations will enable the design of more effective vaccination programs. Therefore, we will also evaluate the capacity to influence behavioral factors, including prosociality, imitation, and habitual behavior, to promote vaccination policies that are optimal at both the individual and public health scales. Our results will increase our understanding of health decision-making and inform intervention strategies to improve vaccination rates.

描述（由申请人提供）：预测医疗决策（例如疫苗接种）的关键是了解个人行为及其决定因素，包括自我利益和自我决定的目标（渴望使自己受益或增强自己的实用性），亲社会性，偏爱他人（对他人的福祉），模仿者（模仿他人的决定），以及习惯性行为（趋向行为），以及习惯性的行为（趋势），以及时间和倾向。由于这些行为因素会影响疫苗接种决策，因此需要将它们纳入替代疫苗接种策略的模型中，以提供政策决策指导。在这里，我们建议评估行为因素如何塑造流感疫苗接种决策，各个国家各不相同，可用于为疫苗接种策略提供信息。为此，我们将使用流行病学的经济模型，包括通过心理，经济和社会学数据参数化的流感理论和网络传播网络模型。具体来说，我们的跨学科团队将采用调查，统计分析和数学建模来评估个人决策过程之间的相互作用，传染病传播以及不同国家的社会影响。我们将在多个相互关联的范围内评估行为，决策和流行病学结果，包括在个人，家庭，年龄阶段，国家和人口水平。个人级别的疫苗接种决定可以深刻影响爆发的命运，因此对地区，国家和国际人口产生了很大的影响。了解疫苗接种决策的基础因素和遵守公共卫生建议将使更有效的疫苗接种计划的设计。因此，我们还将评估影响行为因素的能力，包括亲社会性，模仿和习惯行为，以促进个人和公共卫生规模最佳的疫苗接种政策。我们的结果将增加我们对健康决策的理解，并为提高疫苗接种率的干预策略提供信息。