RAPID: Evaluating the Impact of COVID-19 on Labor Market, Social, and Mental Health Outcomes

这项研究项目将促进对新冠肺炎大流行造成的经济、社会和心理健康损失的了解。这场大流行正在迅速侵蚀世界赖以生存的社会和经济平台。必须迅速收集高质量的数据，以便了解大流行对人类生活的影响。该项目将收集人们在疫情期间在美国的经历的可靠数据，包括通过社交媒体平台快速收集的数据。该项目还将制定方法，以促进有效利用不同的数据源。由于美国国内和不同国家的经历差异很大，调查人员将与美国以外五个国家的研究人员合作。通过在全球类似调查中实施相同的经验结果衡量标准，可以对各国实施的政策的有效性进行独特的比较。该项目的成果将为学者、从业者和政策制定者提供洞察力，他们正在寻求了解和告知遏制大流行及其后果的政策。该项目收集的数据、指向其他数据的链接以及项目结果将通过仪表板提供给决策者、研究人员和感兴趣的公众。调查人员将录制播客和网络研讨会，以广泛传播结果。研究生将接受协作多地点研究的培训。这个项目将利用收集的数据，作为了解美国研究中正在进行的美国家庭跟踪研究的一部分。调查数据也将通过Facebook和Instagram收集。这些数据将解决的研究问题包括：在这场大流行期间，哪些政策有助于减少焦虑和抑郁？哪些人在大流行期间面临最大的经济损失风险，哪些措施对他们帮助最大？这些经济损失如何影响人们参与社会疏远的意愿，以及哪些政策帮助人们在面临经济损失时留在家里？该项目还将开发新的调查加权方法，以利用不同抽样框架、抽样方案和模式的同时收集数据。有了多个数据来源，就可以评估需要适应快速变化的环境的心理健康量表项目的测量性质。将开发从不同来源的数据中进行因果推断的方法，以评估地方、州和国家不同政策干预的效果。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This research project will advance understanding of the economic, social, and mental health toll of the COVID-19 pandemic. The pandemic is quickly eroding the social and economic platform the world is built upon. Quality data must be gathered quickly in order to understand the impact of the pandemic on human life. This project will collect robust data on people's experiences in the U.S. during the pandemic, including data collected quickly via social media platforms. The project also will develop methodology to facilitate the effective use of different data sources. Because experiences both within the U.S. and across countries vary widely, the investigators will collaborate with researchers in five countries outside the U.S. By implementing the same measures of experienced outcomes in similar surveys across the globe, a unique comparison is possible about the effectiveness of the policies that have been implemented across countries. The project results will provide insights for academics, practitioners, and policy makers who are seeking to understand and inform policies to curb the pandemic and its consequences. Data collected by this project, links to other data, and project findings will be made available through dashboards for policy makers, researchers, and the interested public. The investigators will record podcasts and webinars to broadly disseminate the results. Graduate students will be trained in the conduct of collaborative multi-site research.This project will leverage data collected as part of an ongoing tracking study of American households in the Understanding America Study. Survey data also will be collected via Facebook and Instagram. Research questions to be addressed by the data include: Which policies have helped to reduce anxiety and depression during this pandemic? Which individuals are at greatest risk for economic losses during the pandemic and what measures have helped them the most? How do these economic losses influence willingness to engage in social distancing, and which policies have helped people to stay at home in the face of economic losses? The project also will develop new survey weighting approaches to make use of the simultaneous collection of data with different sampling frames, sampling schemes, and modes. The availability of multiple data sources will allow for the assessment of measurement properties of mental health scales items in need of adaptations to rapidly changing environments. Methods will be developed for causal inference from data combined from different sources to assess the effects of different policy interventions by local areas, states, and countries.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.