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项目的更广泛的影响/商业潜力是使COVID-19危机之后的校园环境的公司和其他组织可以安全地重新开放大学校园和学校系统。由于Covid-19的突然爆发，全球大学校园和学校系统被关闭，以减慢疾病的传播。尽管在控制Covid-19的传播方面取得了很大的成功，但学校的关闭导致了健康问题，包括身体和心理压力，除了直接经济影响外，学生，教职员工和教职员工还引起了健康问题。该项目开发了一个系统，可以根据科学数据和信息更好地支持学校重新开放。潜在的产品可以模拟COVID-19案例的轨迹，并为潜在客户提供可靠的方法，以科学地监控其校园状态。 该产品有可能在全球范围内使用，还可以用来通过集中的聚会站点设置来管理大型事件。此I-Corps项目基于开发的时空模拟/预测系统，以解决由Covid-19-19造成的紧急校园重新开放问题。该系统集成了对时空基础架构的调查，包括大数据，云计算，分析和社区外展。人类行为模拟，校园时空动力学和公共卫生数据被合并为鉴定可能的病毒病例轨迹。新颖的时空模拟将基于代理的人运动和公共卫生风险以及控制政策（例如掩盖授权，课堂规模限制，测试和跟踪以及疫苗接种状态）集成了准确的预测。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的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评论标准通过评估来支持的。

项目成果

Rapid perception of public opinion in emergency events through social media

• DOI: 10.1061/(asce)nh.1527-6996.0000547
• 发表时间: 2022-01-01
• 期刊: Nat Hazards Rev
• 影响因子: 2.7
• 作者: Chen, Y.;Li, Y.;Ji, W-Y.
• 通讯作者: Ji, W-Y.