I-Corps: A spatiotemporal simulation system to predict COVID-19 case trajectories in schools

I-Corps：预测学校 COVID-19 病例轨迹的时空模拟系统

• 批准号: 2138914
• 负责人: Chaowei Yang
• 金额: $ 5万
• 依托单位: George Mason 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: 2021-07-15 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2138914&HistoricalAwards=false
• 关键词: Corps; spatiotemporal; simulation; system; predict

The broader impact/commercial potential of this I-Corps project is to enable safe reopening of college campuses and school systems, as well as companies and other organizations with a campus setting after the COVID-19 crisis. Due to the sudden outbreak of COVID-19, college campuses and school systems were shut down globally to slow down the spread of the disease. Despite being largely successful in controlling the spread of COVID-19, school closings caused health problems, including physical and psychological stresses, for students, staff, and faculty in addition to direct economic impacts. This project develops a system to better support school re-openings with specific policies based on scientific data and information. The potential product can simulate the trajectory of COVID-19 cases and provide potential customers with a reliable method to scientifically monitor the status of their campuses. This product has the potential to be used globally and also can be used to manage large events with a focused gathering site setting.This I-Corps project is based on a spatiotemporal simulation/prediction system developed to address the urgent campus reopening questions caused by the COVID-19 pandemic. The system integrates investigation on spatiotemporal infrastructure including big data, cloud computing, analytics, and community outreach. Human behavior simulation, campus spatiotemporal dynamics, and public health data are combined to predicate possible viral case trajectories. The novel spatiotemporal simulation integrates agent-based people movement and public health risks as well as control policies (such as mask mandates, classroom size restrictions, test and tracking, and vaccination status) to derive accurate predictions. The system has been validated using data from several college campuses.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.

该 I-Corps 项目更广泛的影响/商业潜力是在 COVID-19 危机后，使大学校园和学校系统以及拥有校园环境的公司和其他组织能够安全地重新开放。由于COVID-19的突然爆发，全球大学校园和学校系统被关闭，以减缓疾病的传播。尽管在很大程度上成功地控制了 COVID-19 的传播，但学校关闭除了直接经济影响外，还给学生、教职员工和教师带来了健康问题，包括身体和心理压力。该项目开发了一个系统，以基于科学数据和信息的具体政策更好地支持学校重新开放。该潜在产品可以模拟COVID-19病例的轨迹，并为潜在客户提供可靠的方法来科学地监控其校园的状态。 该产品具有在全球范围内使用的潜力，也可用于管理具有集中聚集地点设置的大型活动。该 I-Corps 项目基于时空模拟/预测系统，旨在解决因疫情造成的紧急校园重新开放问题。 2019冠状病毒病大流行。该系统集成了对时空基础设施的调查，包括大数据、云计算、分析和社区外展。人类行为模拟、校园时空动态和公共卫生数据相结合，可以预测可能的病毒病例轨迹。这种新颖的时空模拟集成了基于代理的人员流动和公共卫生风险以及控制政策（例如口罩要求、教室规模限制、测试和跟踪以及疫苗接种状态），以得出准确的预测。该系统已使用来自多个大学校园的数据进行了验证。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审查标准进行评估，被认为值得支持。

项目成果

New Metrics for Assessing the State Performance in Combating the COVID‐19 Pandemic

评估国家抗击新冠肺炎 (COVID-19) 疫情表现的新指标

• DOI: 10.1029/2021gh000450
• 发表时间: 2021-09
• 期刊: GeoHealth
• 影响因子: 4.8
• 作者: Li, Yun;Rice, Megan;Li, Moming;Du, Chengan;Xin, Xin;Wang, Zifu;Shi, Xun;Yang, Chaowei
• 通讯作者: Yang, Chaowei

COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records

COVID-Scraper：用于自动抓取和处理全球多尺度时空 COVID-19 记录的开源工具集

• DOI: 10.1109/access.2021.3085682
• 发表时间: 2021-01
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: Lan, Hai;Sha, Dexuan;Malarvizhi, Anusha Srirenganathan;Liu, Yi;Li, Yun;Meister, Nadine;Liu, Qian;Wang, Zifu;Yang, Jingchao;Yang, Chaowei Phil
• 通讯作者: Yang, Chaowei Phil

Impact of COVID-19 containment and closure policies on tropospheric nitrogen dioxide: A global perspective

COVID-19 遏制和关闭政策对对流层二氧化氮的影响：全球视角

• DOI: 10.1016/j.envint.2021.106887
• 发表时间: 2022-01
• 期刊: Environment International
• 影响因子: 11.8
• 作者: Li, Yun;Li, Moming;Rice, Megan;Yang, Chaowei
• 通讯作者: Yang, Chaowei

Rapid Perception of Public Opinion in Emergency Events through Social Media

通过社交媒体快速感知突发事件舆情

• DOI: 10.1061/(asce)nh.1527-6996.0000547
• 发表时间: 2022-05
• 期刊: Natural Hazards Review
• 影响因子: 2.7
• 作者: Chen, Yudi;Li, Yun;Wang, Zifu;Quintero, Alma Joanna;Yang, Chaowei;Ji, Wenying
• 通讯作者: Ji, Wenying

Public Opinions on COVID-19 Vaccines—A Spatiotemporal Perspective on Races and Topics Using a Bayesian-Based Method

公众对 COVID-19 疫苗的看法——使用基于贝叶斯方法的种族和主题的时空视角

• DOI: 10.3390/vaccines10091486
• 发表时间: 2022-09-07
• 期刊: Vaccines
• 影响因子: 7.8
• 作者: Wang Z;Chen Y;Li Y;Kakkar D;Guan W;Ji W;Cain J;Lan H;Sha D;Liu Q;Yang C
• 通讯作者: Yang C