RAPID: Impacts of Design and Operation Attributes of Mass-Gathering Civil Infrastructure Systems on Pathogen Transmission and Exposure
RAPID: Impacts of Design and Operation Attributes of Mass-Gathering Civil Infrastructure Systems on Pathogen Transmission and Exposure
批准号:
2026719
负责人:
Shuai Li
金额:
$19.98万
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
项目状态:
已结题
起止时间:
2020-05-01 至 2022-08-31
中文摘要
这项快速反应研究(Rapid)拨款将支持基础研究,以揭示设计属性和操作策略将如何影响大规模聚集的民用基础设施系统中传染性病原体的传播和暴露。在2019年新型冠状病毒大流行期间,学校、机场、公共交通系统等大规模聚集的民用基础设施系统可能成为传染病传播的热点。在了解基础设施设计和运行对病原体的发生、分布、运输和生存能力的影响方面,仍然存在显著的知识差距。必须解决这一知识差距。该项目的成果将产生生物信息指导方针,用于管理关键民用基础设施系统,以防止设施使用者接触致病微生物,并减少传染病传播的风险,从而减轻卫生保健系统和公民的负担。该项目将为大流行期间、恢复期间以及之后的基础设施设计、重新配置和运营实践提供急需的见解,以防止进一步的疾病暴发,并支持健康、有弹性和智能的社区。因此,该项目将有助于促进公共健康、国家安全和经济繁荣。此外,该项目将提高公众的科学素养和对传染病的认识,改善学生的教育和培训,以及K-12的外展和参与活动。本研究的具体目的是参数化基础设施系统的相关设计属性和运行策略,并随后从时空微生物组谱中评估其对病原体传播和暴露的影响。将追求三个目标:1)识别和量化可能影响病原体动态的设计属性和操作策略;2)审核与空间和功能分布的系统组件相关的微生物,特别是病原体的类型、丰度和共现模式,以及时空动态;3)描述设计和操作对基础设施系统中微生物传播和暴露途径的影响。在建筑信息建模和句法分析的基础上,考虑系统组件的空间和功能相互依赖关系,参数化设计属性。操作策略将使用综合数据传感和仿真技术进行建模。将采用分子和宏基因组学技术开发一种模型信息采样方法,以表征时空微生物组动力学。设计和操作对微生物传播和暴露途径的影响将使用集成源跟踪和机器学习方法进行评估。在基础设施系统工程和环境微生物学的联系下,这项融合研究将为影响大规模聚集的民用基础设施系统中病原体传播和暴露的设计属性和操作实践提供独特的见解。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This Rapid Response Research (RAPID) grant will support fundamental research to reveal how the design attributes and operation strategies will influence the transmission of and exposure to infectious pathogens within mass-gathering civil infrastructure systems. During the pandemic of 2019 novel coronavirus, the mass-gathering civil infrastructure systems, such as schools, airports, and public transit systems, can become hot spots for spreading the infectious disease. There remains a striking knowledge gap in understanding the impacts of infrastructure design and operation on the occurrence, distribution, transport, and viability of pathogens. It is imperative to address this knowledge gap. Results from this project will lead to bio-informed guidelines for managing critical civil infrastructure systems to prevent exposure of facility users to pathogenic microorganisms, and reduce risks of spreading infectious diseases, and thus alleviating burdens on healthcare systems and citizens. This project will provide much needed insights for infrastructure design reconfigurations and operation practices during the pandemic, in the recovery, and beyond to prevent further disease outbreaks and support healthy, resilient, and smart communities. As a result, this project will help promote public health, national security, and economic prosperity. In addition, this project will raise public science literacy and awareness of infectious diseases, and improve student education and training, as well as K-12 outreach and engagement activities. The specific objective of this research is to parameterize relevant design attributes and operation strategies of infrastructure systems, and subsequently evaluate their impacts on pathogen transmission and exposure from spatiotemporal microbiome profiles. Three aims will be pursued: 1) identify and quantify the design attributes and operation strategies that may impact pathogen dynamics; 2) audit the types, abundance, and co-occurrence patterns, as well as spatiotemporal dynamics of microorganisms, particularly pathogens, associated with spatially and functionally distributed system components; and 3) characterize the impacts of design and operation on the transmission and exposure pathways of microorganisms in infrastructure systems. The spatial and functional interdependence of system components will be considered to parameterize design attributes based on building information modeling and syntactic analysis. The operation strategies will be modeled using integrated data sensing and simulation techniques. A model-informed sampling approach will be developed with molecular and metagenomics techniques to characterize spatiotemporal microbiome dynamics. The impacts of design and operation on microbial transmission and exposure pathways will be assessed using integrated source tracking and machine learning methods. At the nexus of infrastructure system engineering and environmental microbiology, this convergence research will provide unique insights into design attributes and operation practices impacting pathogen transmission and exposure in mass-gathering civil infrastructure systems.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.
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DOI:
10.1111/mice.12811
发表时间:
2022-01
期刊:
Computer‐Aided Civil and Infrastructure Engineering
影响因子:
--
作者:
[Da Hu;Shuai Li]
通讯作者:
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
Assessing Transmission Risks of SARS-COV-2 Omicron Variant In U.S. School Facilities and Mitigation Measures
评估 SARS-COV-2 Omicron 变种在美国学校设施中的传播风险和缓解措施
DOI:
10.1109/wsc57314.2022.10015486
发表时间:
2022
期刊:
IEEE
影响因子:
--
作者:
[Xu, Yifang, Li, Shuai, He, Qiang, Zhu, Siyao, Cai, Jiannan]
通讯作者:
Cai, Jiannan
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
FW-HTF-R/Collaborative Research: FAIR4WISE: Future AI and Robotics for Women in Smart Engineering
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批准号:2222810
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项目类别:Standard Grant
-
资助金额:$68.86万
-
财政年份:2022
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负责人:Shuai Li
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依托单位:
I-Corps: Artificial Intelligence (AI)-Enabled and Digital Twin Interactive Robots for Facility Hygiene and Human Health
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批准号:2227108
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项目类别:Standard Grant
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资助金额:$5.0万
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财政年份:2022
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负责人:Shuai Li
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依托单位:
FW-HTF-R/Collaborative Research: Human-Robot Sensory Transfer for Worker Productivity, Training, and Quality of Life in Remote Undersea Inspection and Construction Tasks
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批准号:2129003
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项目类别:Standard Grant
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资助金额:$22.5万
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财政年份:2021
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负责人:Shuai Li
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依托单位:
CPS: Medium: Bio-socially Adaptive Control of Robotics-Augmented Building-Human Systems for Infection Prevention by Cybernation of Pathogen Transmission
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批准号:2038967
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项目类别:Standard Grant
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资助金额:$119.91万
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财政年份:2021
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负责人:Shuai Li
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依托单位:
SCC-PG: Toward Disease-Resistant School Communities by Reinventing the Interfaces among Built Environments, Occupants, and Microbiomes
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批准号:1952140
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2020
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负责人:Shuai Li
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依托单位:
CRII: CPS: Modeling Subsurface Features and Connected Autonomous Vehicles as Cyber-Physical Systems for Reciprocal Mapping and Localization
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批准号:1850008
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项目类别:Standard Grant
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资助金额:$17.5万
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财政年份:2019
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负责人:Shuai Li
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依托单位:
国内基金
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IMPACTS站点土壤铝活化机制研究
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批准号:40273045
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项目类别:面上项目
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资助金额:32.0万元
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批准年份:2002
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负责人:张晓山
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依托单位: