SCC-PG: Toward Disease-Resistant School Communities by Reinventing the Interfaces among Built Environments, Occupants, and Microbiomes

SCC-PG：通过重塑建筑环境、居住者和微生物组之间的界面，打造抗病学校社区

• 批准号: 1952140
• 负责人: Shuai Li
• 金额: $ 15万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952140&HistoricalAwards=false
• 关键词: SCC; PG; Toward; Disease; Resistant

Schools are hubs connecting the constituent groups of communities. This very nature of schools combined with the high concentration of vulnerable populations make schools hotbeds for the transmission of pathogens. In addition to the staggering death toll and burden on healthcare systems, infectious diseases such as seasonal flu and coronavirus disease 2019 (COVID-19) also lead to prolonged and repeated school closures, causing massive loss of education and productivity in communities. There is an urgent and critical need to build resilience for schools and connected communities against diseases. This project leverages the NSF big idea “Harnessing the Data Revolution” and proposes a transformative paradigm “Disease-Resistant School Communities”. Intelligent technologies will be created to reinvent the interactions among school environments, occupants, and microbiomes to control pathogen transmissions and reduce infection risks. In addition, stakeholders will be engaged to develop management strategies to make schools healthier, smarter, safer, and more sustainable for education and community well-being. If successful, this project could enhance the resilience of the 130,000 public and private schools used by 55 million K-12 students and 7 million adults in the nation against infectious diseases, reduce the enormous societal costs that would result from school closures, and significantly improve public health and economic prosperity. In addition, this project will also improve public scientific literacy by engaging community stakeholders in research, and raise community awareness for effective practices to prevent disease transmission.The ultimate goal of this planning grant is to develop intelligent technologies to model and monitor the environment-occupant-microbiome interactions in school communities, and exploit the unprecedented information for school management to reduce the risks of spreading infectious diseases. This project will explore: 1) disease-resistant designs based on the prediction of microbiome colonization and succession; 2) disease-resistant operations based on the monitoring of interactions among environments, occupants, and microbiomes; and 3) more effective hygiene practices and interventions to reduce disease transmission based on smart and connected informatics. By linking the microbial contamination patterns and transmission pathways with quantifiable design attributes and controllable operation paradigms, this research will lay a computational foundation for parametric design and operation control for reduced exposure to pathogens in schools. The information needs and effective information communication venues among different stakeholders will be identified to develop smart interfaces for connected decisions and actions to reduce contamination and transmission risks. This project will also lead to a novel community engagement model, through which students, teachers, school administrators, parents, healthcare providers, scientists, and engineers are all involved in the development of intelligent technologies and discovery of new knowledge to establish citizen-centric living laboratories for idea generation, data collection, prototype validation, and solution evaluation.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.

学校是连接社区组成群体的枢纽。学校的这种性质加上弱势群体的高度集中，使学校成为病原体传播的温床。除了惊人的死亡人数和医疗保健系统的负担之外，季节性流感和 2019 年冠状病毒病 (COVID-19) 等传染病也会导致学校长期和反复关闭，导致社区教育和生产力的大量损失。迫切需要增强学校和相关社区抵御疾病的能力。该项目利用美国国家科学基金会“利用数据革命”的大理念，提出了“抗病学校社区”的变革范式。将创建智能技术来重塑学校环境、居住者和微生物群之间的相互作用，以控制病原体传播并降低感染风险。此外，利益相关者将参与制定管理策略，使学校更健康、更智能、更安全、更可持续，从而促进教育和社区福祉。如果成功，该项目可以增强全国 5500 万 K-12 学生和 700 万成年人就读的 13 万所公立和私立学校抵御传染病的能力，减少因学校停课而造成的巨大社会成本，并显着改善公共卫生和经济繁荣。此外，该项目还将通过让社区利益相关者参与研究来提高公众的科学素养，并提高社区对预防疾病传播的有效做法的认识。该规划拨款的最终目标是开发智能技术来建模和监测学校社区中环境-居住者-微生物组的相互作用，并利用学校管理前所未有的信息来降低传染病传播的风险。该项目将探索：1）基于微生物组定植和演替预测的抗病设计； 2）基于环境、居住者和微生物群之间相互作用的监测的抗病操作； 3）基于智能和互联信息学的更有效的卫生习惯和干预措施，以减少疾病传播。通过将微生物污染模式和传播途径与可量化的设计属性和可控的操作范式联系起来，该研究将为参数化设计和操作控制奠定计算基础，以减少学校接触病原体的机会。将确定不同利益相关者之间的信息需求和有效的信息沟通场所，以开发智能接口来进行相互关联的决策和行动，以减少污染和传播风险。该项目还将带来一种新颖的社区参与模式，通过该模式，学生、教师、学校管理人员、家长、医疗保健提供者、科学家和工程师都参与智能技术的开发和新知识的发现，以建立以公民为中心的生活实验室，以进行创意生成、数据收集、原型验证和解决方案评估。该奖项反映了 NSF 的法定使命，并通过使用基金会的知识进行评估，被认为值得支持。 优点和更广泛的影响审查标准。

项目成果

Recognizing object surface materials to adapt robotic disinfection in infrastructure facilities

• DOI: 10.1111/mice.12811
• 发表时间: 2022-01
• 期刊: Computer‐Aided Civil and Infrastructure Engineering
• 作者: Da Hu;Shuai Li

Microbiome Profiles of Nebulizers in Hospital Use

医院使用的雾化器的微生物组概况

• DOI: 10.1089/jamp.2021.0032
• 发表时间: 2022
• 期刊: Journal of Aerosol Medicine and Pulmonary Drug Delivery
• 影响因子: 3.4
• 作者: Swanson, Clifford S.;Dhand, Rajiv;Cao, Liu;Ferris, Jennifer;Elder, C. Scott;He, Qiang
• 通讯作者: He, Qiang

Segmenting areas of potential contamination for adaptive robotic disinfection in built environments

• DOI: 10.1016/j.buildenv.2020.107226
• 发表时间: 2020-10-15
• 期刊: BUILDING AND ENVIRONMENT
• 影响因子: 7.4
• 作者: Hu, Da;Zhong, Hai;He, Qiang
• 通讯作者: He, Qiang

Nationwide assessment of energy costs and policies to limit airborne infection risks in U.S. schools

• DOI: 10.1016/j.jobe.2021.103533
• 发表时间: 2021-10-30
• 期刊: Journal of Building Engineering
• 影响因子: 6.4
• 作者: Cai J;Li S;Hu D;Xu Y;He Q
• 通讯作者: He Q