RAPID: Tracking the Spatiotemporal Dynamics of the COVID-19 Pandemic in the Arctic

这项快速奖励支持开发和部署一个基于网络的实时新冠肺炎数据中心，该中心由数据科学、地理信息学、流行病学和地理领域的专家组成的跨学科团队管理。该团队将收集、分析和传播有关北极新冠肺炎大流行的时空动态数据。将向包括北极居民、研究人员和政策制定者在内的利益攸关方提供分区域一级的数据集和时空趋势分析。大流行病数据将通过收集新冠肺炎在北极社区的经验的第一人称账户进行背景分析。该小组还将开发地理可视化工具并分析数据集，以解决与新冠肺炎在北极的传播和地理相关的紧急问题，评估遏制和缓解政策，并评估病死率是否受到环境、社会经济和/或地理变量的影响。对北极新冠肺炎数据和数据产品的长期管理将确保可用于未来的分析、历史研究和政策考虑。方法：研究小组将利用他们在收集和分析与北极新冠肺炎的发病和传播有关的各种多语言数据集方面的专业知识。来自北美、斯堪的纳维亚和俄罗斯的地理参考量化数据将从公开的数据库中收集；变量将包括基本人口数据，以及检测率、发病率和死亡率。关于大流行应对、检疫措施、缓解措施和官方公告的定性数据将进行地理标记和编目，以进行基于主题和位置的搜索。在征得知情同意的情况下，将在项目的数据中心以虚拟方式收集并提供新冠肺炎在北极社区的多语言叙述。该奖项反映了美国国家科学基金会的法定使命，并已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 RAPID award supports the development and deployment of a real-time web-based COVID-19 data hub managed by an interdisciplinary team of experts in data science, geoinformatics, epidemiology and geography. The team will collect, analyze, and disseminate data on the spatial and temporal dynamics of the COVID-19 pandemic in the Arctic. Both datasets and analyses of spatiotemporal trends at the subregional level will be made available to stakeholders including Arctic residents, researchers, and policymakers. Pandemic data will be contextualized through the collection of first-person accounts of the COVID-19 experience in Arctic communities. The team will also develop geovisualization tools and analyze datasets to address urgent questions related to the spread and geography of COVID-19 in the Arctic, assessing containment and mitigation policies and evaluating whether case fatality rates are affected by environmental, socioeconomic, and/or geographic variables. Long-term curation of Arctic COVID-19 data and data products will ensure availability for future analysis, historical study and policy consideration. Methods: The research team will build on their expertise in collection and analysis of diverse, multilingual datasets relevant to the incidence and spread of COVID-19 in the Arctic. Georeferenced quantitative data from North America, Scandinavia, and Russia will be collected from publicly available databases; variables will include basic demographic data, and rates of testing, morbidity, and mortality. Qualitative data on pandemic response, quarantine measures, mitigation efforts, and official announcements will be geotagged and catalogued for theme- and location-based searches. Multilingual narrative accounts of the experience of COVID-19 in Arctic communities will be collected virtually and, with informed consent, made available on the project’s data hub.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.