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，灾害记录被认为是单一地点、事件后的活动，但人们越来越认识到，灾害可以在相对较短的时间内影响多个社区，并且近乎实时地了解人们的反应具有重要价值为此，本研究将利用实地观察员在 11 个国内和 5 个国际地点捕获与离开 COVID-19 医疗设施的个人街道行为相关的易腐数据，为期 2 个月。该文档将包括性别、触摸行为、口罩使用以及目的地和交通选择 通过重新访问 2020 年春季研究中 9 周记录的医疗机构子集，将为该研究记录最多的 8 个地点生成关键纵向数据。通过对美国其他 3 个城市和 3 个外国城市的 5 家医院进行研究，可以开始测试该方法在不同文化和社区中的稳健性，考虑到疾病在国内和国际上不同社区的传播，这一更广泛的数据集将尤其重要。在寻址中该项目预计将收集 14,000 多条关于医疗机构之外的 COVID-19 相关行为的记录。该项目还将调查使用标准化软件和协议是否可以向附近的国际社会提供信息。最后，该项目将考虑通过 3 种不同的方式远程部署学生研究人员：（1）使用虚拟协调员在远离主校区的家乡（国内和国外）雇用机构的学生。 ; (2) 使用在海外运营的美国大学的资源；以及 (3) 使用在海外运营的非美国大学的资源 培训、协调、部署和数据收集问题将根据难度、有效性和有效性进行评估。该项目将培训 29 名年轻研究人员进行新颖的实地工作，这些工作将转化为与 COVID-19 相关的高可用性信息的独特的公共数据集。该奖项反映了 NSF 的法定使命，并通过使用基金会的评估被认为值得支持。智力价值和更广泛的影响审查标准。

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