RAPID: Coupled Contagion, Behavior-Change, and the Dynamics of Pro- and Anti-Social Behavior During the COVID-19 Pandemic

RAPID：COVID-19 大流行期间的耦合传染、行为改变以及亲社会和反社会行为的动态

• 批准号: 2028160
• 负责人: James Jones
• 金额: $ 19.76万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2028160&HistoricalAwards=false
• 关键词: RAPID; Coupled; Contagion; Behavior; Change

The current COVID-19 pandemic involves both tremendous risk and tremendous uncertainty about that risk, at unprecedented scales and across demographic and cultural contexts. How individuals interpret, understand, and respond to that risk have important implications for the transmission of the COVID-19 virus, SARS-CoV-2. This research leverages the ubiquity of SARS-CoV-2 amid varying community, regional, and national responses to test theories about the transmission of behavioral norms, linking individual characteristics (identities, homophily, transmission biases such as conformity or prestige risk management, and demographics), sources of information about the virus, and effects on transmission. Coupled contagion modeling has tended to be limited to demonstration of concept. The incorporation of real time behavioral response data in the modeling of couple contagion improves prospects for improved epidemic control through the promotion of pro-social behavior. This project will train students from under-represented minorities and a post-doctoral scholar in epidemiology. Results will be made immediately available to the public and will inform development of educational material. This project will study the coupled contagion dynamics of COVID-19 and related behavioral responses, including (but not limited to) increased hygiene (e.g., hand-washing), social distancing, social gathering (purposeful resistance to distancing), hoarding of supplies, and signaling of either alarm or defiance in response to official reports of threat. Investigators will collect data longitudinally in three waves starting from severe non-pharmaceutical interventions such as "lockdowns" through the expected course of the epidemic. Surveys will assess risk-reduction behaviors, compliance with public-health mandates, and hypothesized predictors of response including trust in various institutions, social capital, and sources of news and information. To complement the empirical data collection, the investigators will develop and analyze mathematical and simulation-based models that jointly track the dynamics of virus transmission and behavior change. The models will be parameterized with data collected in the survey. Particular focus will be given to the consequences of behaviors driven by conflicting messages about seriousness and the appropriateness of different types of interventions for disease transmission. An important goal of this modeling is to develop insights for improving public-health interventions, motivating compliance, and ensuring that effective and accessible information about the virus is available to the public.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

当前的COVID-19大流行涉及巨大的风险和风险的巨大不确定性，其规模前所未有，涉及人口和文化背景。个人如何解读、理解和应对这种风险，对COVID-19病毒（SARS-CoV-2）的传播具有重要意义。这项研究利用SARS-CoV-2在不同社区，地区和国家反应中的普遍存在来测试有关行为规范传播的理论，将个人特征（身份，同质性，传播偏见，如一致性或声望风险管理，以及人口统计学），有关病毒的信息来源以及对传播的影响联系起来。耦合传染模型往往局限于概念的演示。将真实的时间行为反应数据纳入夫妇传染的建模，通过促进亲社会行为改善了流行病控制的前景。该项目将培训代表性不足的少数民族学生和一名流行病学博士后学者。调查结果将立即向公众公布，并将为教材的编写提供信息。该项目将研究COVID-19的耦合传染动力学和相关的行为反应，包括（但不限于）增加卫生（例如，洗手）、社交距离、社交聚会（有目的地抵制距离）、囤积物资，以及对官方报告的威胁发出警报或蔑视信号。调查人员将从“封城”等严厉的非药物干预措施开始，到预期的疫情进程，分三波纵向收集数据。调查将评估降低风险的行为，遵守公共卫生规定，以及假设的反应预测因素，包括对各种机构的信任，社会资本以及新闻和信息来源。为了补充经验数据收集，研究人员将开发和分析数学和基于模拟的模型，共同跟踪病毒传播和行为变化的动态。这些模型将根据调查中收集的数据进行参数化。将特别关注由关于疾病传播的严重性和不同类型干预措施的适当性的相互冲突的信息驱动的行为的后果。该模型的一个重要目标是为改善公共卫生干预措施、激励合规性和确保公众获得有效和可获得的病毒信息提供见解。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Some Forms of Uncertainty May Suppress the Evolution of Social Learning

某些形式的不确定性可能会抑制社会学习的发展

• 发表时间: 2022
• 期刊: Proceedings of the 44th Annual Conference of the Cognitive Science Society
• 作者: Turner, M.A.;Moya, C.;Smaldino, P.E.;Jones, J.H.
• 通讯作者: Jones, J.H.

Transmission‐dynamics models for the SARS Coronavirus‐2

• DOI: 10.1002/ajhb.23512
• 发表时间: 2020-09
• 期刊: American Journal of Human Biology
• 影响因子: 2.9
• 作者: J. Jones;A. Hazel;Zack W. Almquist

Reparations for Black American descendants of persons enslaved in the U.S. and their potential impact on SARS-CoV-2 transmission.

• DOI: 10.1016/j.socscimed.2021.113741
• 发表时间: 2021-05
• 期刊: Social science & medicine (1982)
• 作者: Richardson ET;Malik MM;Darity WA Jr;Mullen AK;Morse ME;Malik M;Maybank A;Bassett MT;Farmer PE;Worden L;Jones JH
• 通讯作者: Jones JH