Collaborative:Elements:Cyberinfrastructure for Pedestrian Dynamics-Based Analysis of Infection Propagation Through Air Travel

协作：元素：基于行人动力学的航空旅行感染传播分析的网络基础设施

• 批准号: 1931483
• 负责人: Sirish Namilae
• 金额: $ 15万
• 依托单位: Embry-Riddle Aeronautical University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-11-01 至 2024-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1931483&HistoricalAwards=false
• 关键词: Collaborative; Elements; Cyberinfrastructure; Pedestrian; Dynamics

When people congregate - for example, at entertainment events, in crowds, and airplanes - they come into close contact with each other and can spread infectious diseases. The Disney World measles outbreak in 2016 is a prominent example. Air travel, in particular, is a leading factor in the spread of infections, and there have been several outbreaks of serious diseases that spread during air travel, such as SARS, H1N1 influenza, and tuberculosis. Public health policies and procedures for crowd management, boarding airplanes, etc. can help in mitigating the spread of disease, if these policies are science-based. The spread of directly transmitted diseases is governed by the movement patterns of people because the movement can bring an infected person close to others. The science of "pedestrian dynamics" provides mathematical models that can accurately simulate the movement of individuals in a crowd. These models allow scientists to understand how different policies, such as boarding procedures on planes, can prevent, or make worse, the transmission of infections. This project seeks to develop a novel software that will provide a variety of pedestrian dynamics models, infection spread models, as well as data so that scientists can analyze the effect of different mechanisms on the spread of directly transmitted diseases in crowded areas. The initial focus of this project is on air travel. However, the software can be extended to a broader scope of applications in movement analysis and epidemiology, such as in theme parks and sports venues. The project team is working closely with decision makers in airports, public health agencies, and the airline industry. This collaboration will lead to practical applications of this science that will improve public health. This project and the software will educate a wide range of scientists as well as students, in particular, students from under-represented groups, as well as professionals working in the public health fields.This project seeks to develop a novel software that will provide a variety of pedestrian dynamics models, infection spread models, as well as data so that scientists can analyze the effect of different mechanisms on the spread of directly transmitted diseases in crowded areas. The initial focus of this project is on air travel. However, the software can be extended to a broader scope of applications in movement analysis and epidemiology, such as in theme parks and sports venues. Development of the proposed software will involve several innovations. It will include a novel phylogeography model that links fine-scale human movement data with virus genetic information to more accurately model geographic diffusion of viruses. New models for pedestrian movement will enable modeling of complex human movement patterns. A recommendation system for the choice of pedestrian dynamics models and a domain specific language for the input of policies and human behaviors will enhance usability by researchers in diverse fields. Community building initiatives will catalyze inter-disciplinary research to ensures the long-term sustainability of the project through a critical mass of contributors and users.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.

当人们聚集在一起 - 例如，在娱乐活动，人群和飞机上 - 他们彼此密切接触，并可能传播传染病。迪士尼世界在2016年麻疹爆发就是一个重要的例子。尤其是航空旅行是感染传播的主要因素，并且在空中旅行期间发生了几种严重疾病，例如SARS，H1N1流感和结核病。如果这些政策是基于科学的，则公共卫生政策和人群管理，登机飞机等的程序可以帮助减轻疾病的传播。直接传播疾病的传播受人们的运动模式支配，因为该运动可以使受感染者接近他人。 “行人动力学”的科学提供了数学模型，可以准确模拟人群中个体的运动。这些模型允许科学家了解不同的政策（例如飞机上的登机程序）如何预防或使感染传播更糟。该项目旨在开发一种新型软件，该软件将提供各种行人动力学模型，感染传播模型以及数据，以便科学家可以分析不同机制对拥挤区域直接传播疾病的传播的影响。该项目的最初重点是航空旅行。但是，该软件可以扩展到运动分析和流行病学（例如主题公园和体育场所）中更广泛的应用程序。该项目团队正在与机场，公共卫生机构和航空公司行业的决策者紧密合作。这种合作将导致该科学的实际应用，以改善公共卫生。该项目和该软件将教育各种各样的科学家，尤其是来自代表性群体的学生以及在公共卫生领域工作的专业人员。该项目旨在开发一种新颖的软件，以提供各种行人动态模型，感染传播模型以及数据，以使科学家能够分析与跨性别的机构分析的效应，这些机构在跨性别范围内分析了群体的效应。该项目的最初重点是航空旅行。但是，该软件可以扩展到运动分析和流行病学（例如主题公园和体育场所）中更广泛的应用程序。提出的软件的开发将涉及几项创新。它将包括一个新型的植物地理学模型，该模型将精细的人类运动数据与病毒遗传信息联系起来，以更准确地模拟病毒的地理扩散。行人运动的新模型将实现复杂人类运动模式的建模。用于选择行人动态模型和针对政策和人类行为投入的领域的建议系统将提高各种领域的研究人员的可用性。社区建设计划将通过大量的贡献者和用户来促进跨学科的研究，以确保项目的长期可持续性。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子的智力优点和更广泛的影响来通过评估来支持的。

项目成果

Incorporating Pedestrian Movement in Computational Models of COVID-19 Spread during Air-travel

将行人运动纳入航空旅行期间 COVID-19 传播的计算模型中

• DOI: 10.1109/aero53065.2022.9843497
• 发表时间: 2022
• 期刊: IEEE Aerospace Conference
• 作者: Wu, Yuxuan;Namilae, Sirish;Mubayi, Anuj;Scotch, Matthew;Srinivasan, Ashok
• 通讯作者: Srinivasan, Ashok

Computational Modeling Framework for the Study of Infectious Disease Spread through Commercial Air-Travel

用于研究通过商业航空旅行传播的传染病的计算模型框架

• DOI: 10.1109/aero47225.2020.9172285
• 发表时间: 2020
• 期刊: IEEE Aerospace conference
• 作者: P. Derjany, S Namilae