COVID-19 RAPID: Decision Making Outside of Medical Facilities During Pandemic

COVID-19 RAPID：大流行期间医疗机构之外的决策

• 批准号: 2106316
• 负责人: Debra Laefer
• 金额: $ 20万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106316&HistoricalAwards=false
• 关键词: COVID; 19; RAPID; Decision; Making

Disaster documentation has traditionally been considered a single location, post-event activity, but increasingly there is the recognition that disasters can impact multiple communities over a relatively short period of time and that there is significant value in understanding in near real-time the population’s response, as a threat moves across communities. To this end, this study will use on-the-ground observers to capture perishable data at 11 domestic and 5 international locations for 2 months related to street-level behavior of individuals leaving COVID-19 medical facilities. The documentation will include gender, touch behavior, mask usage, and destination and transportation choices. By revisiting a subset of healthcare facilities documented over 9 weeks in the Spring 2020 study, critical longitudinal data will be generated for that study’s 8 most documented site, and by extending the approach to 3 other US cities and 5 hospitals in 3 foreign cities, the approach’s robustness across different cultures and communities can begin to be tested. Given the spread of disease across different communities both nationally and internationally, this broader set of data will be especially important in addressing strategies for containing COVID-19 across the U.S. This project is expected to collect 14,000+ records on COVID-19 related behaviors outside of medical facilities. This project will also investigate whether the use of standardized software and protocols can enable delivery to the world community near real-time individual, spatial behavioral data. Finally, the project will consider the remote deployment of student researchers through 3 different means: (1) hiring an institution’s students at home locations (domestic and foreign) away from the main campus using a virtual coordinator; (2) using resources at an American University operating an overseas campus; and (3) using resources at a non-American University operating overseas. Training, coordination, deployment, and data harvesting issues will be evaluated in terms of difficulty, effectiveness, and quality. This project will train 29 young researchers in novel fieldwork, which will translate into a unique, public dataset of high usability information related to COVID-19.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.

传统上，灾难记录被认为是一个单一的地点，事后活动，但是人们越来越认识到灾难会在相对较短的时间内影响多个社区，并且随着跨社区的威胁移动，人们对近乎实时的人口的反应具有很大的价值。为此，这项研究将使用地面观察者在2个月内在11个国内和5个国际地点捕获可腐烂的数据，这与离开Covid-19-19的医疗设施的个人的街道行为相关。该文档将包括性别，触摸行为，面具使用情况以及目的地和运输选择。通过重新审视2020年春季研究中9周内记录的一部分医疗机构，该研究将为该研究的8个文献记载的地点生成关键的纵向数据，并通过将该方法扩展到3个外国城市的其他3个城市和5个医院，该方法的稳健性跨不同的文化和社区可以开始进行测试。鉴于疾病在国内和国际上的不同社区中的传播，这套更广泛的数据在解决美国纳入COVID-19的策略方面尤为重要。该项目还将调查使用标准化软件和协议是否可以在实时个人，空间行为数据附近向世界社区交付。最后，该项目将通过3种不同的方式考虑学生研究人员的远程部署：（1）使用虚拟协调员雇用机构的学生在家中（国内外）远离主校园的学生； （2）使用美国大学的资源经营海外校园； （3）使用非美国大学在海外运营的资源。培训，协调，部署和数据收集问题将根据困难，有效性和质量进行评估。该项目将培训29名新型现场工作的年轻研究人员，该项目将转化为与Covid-12的高可用性信息的独特公共数据集，该奖项反映了NSF的法定任务，并通过评估该基金会的知识分子的智力和更广泛的影响来审查标准。

项目成果

NEW POTREE SHADER CAPABILITIES FOR 3D VISUALIZATION OF BEHAVIORS NEAR COVID-19 RICH HEALTHCARE FACILITIES

• DOI: 10.5194/isprs-archives-xlvi-4-w4-2021-61-2021
• 发表时间: 2021-10
• 期刊: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• 作者: C. Carey;J. Romero;D. Laefer