The Effects of Group Closure and Organizational Network Ties in Closed Populations During a Pandemic

在该项目中，研究了与COVID-19相关的健康信息和错误信息的流行情况，以及封闭的宗教社区内的社交距离和隔离做法。 过去的研究将封闭的宗教社区确定为传染病传播的高风险场所，这可能对公共卫生产生巨大影响。 本研究探讨了群体封闭和有凝聚力的组织网络关系是否与健康错误信息的流行率增加以及社交距离和隔离做法的流行率降低相关。 研究结果提供了有价值的信息，为这些社区内的卫生干预措施和公共卫生决策提供更广泛的信息。在这个项目中，通过结合四个数据来源，研究了封闭宗教社区中与COVID-19相关的行为。 首先，分析会众发表的抄写员报告中的COVID-19相关信息以及社交距离和隔离内容。第二，数据是从教会目录收集的。 第三，COVID-19相关的官方指示会随着时间的推移而收集和跟踪。 第四，收集各县卫生区COVID-19发病率随时间变化的数据。这些数据源被整合和分析，以识别与COVID-19相关的健康信息和错误信息和行为相关的因素，并为健康社会学、社交网络和宗教社会学子领域的理论提供信息。 该项目由社会学计划、刺激竞争研究既定计划（EPSCoR）以及人类网络和数据科学计划（HNDS）联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响力进行评估，被认为值得支持。审查标准。

In this project, the prevalence of COVID-19 related health information and misinformation and social distancing and isolation practices within closed religious communities is examined. Past research identifies closed religious communities as high-risk sites for the spread of infectious diseases, which can have outsized impacts on public health. This study examines whether group closure and cohesive organizational network ties are associated with an increased prevalence of health misinformation and a reduced prevalence of social distancing and isolation practices. Findings provide information valuable for informing health interventions within these communities and public health decision making more generally. In this project, COVID-19-related behaviors in closed religious communities are studied through combining four sources of data. First, published scribe reports by congregational members are analyzed for COVID-19 related information and social distancing and isolation content. Second, data are collected from congregational directories. Third, COVID-19-related official instructions are gathered and tracked over time. Fourth, county health district data on COVID-19 incidence over time are collected. These data sources are integrated and analyzed to identify factors associated with COVID-19-related health information and misinformation and behaviors and inform theories within the sociology of health, social networks, and sociology of religion subfields. This project is jointly funded by the Sociology Program, the Established Program to Stimulate Competitive Research (EPSCoR), and the Human Networks and Data Science Program (HNDS).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.