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Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events

用于解决环境紧急事件相关污染事件期间混合物暴露问题的综合工具和模型

基本信息

批准号：
10349750
负责人：
Ivan Rusyn
金额：
$ 185.21万
依托单位：
TEXAS A&M UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-20 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10349750
关键词：
Academia Acute Address Air Pollutants Analytical Chemistry Area Attention Basic Science Benchmarking Big Data Chemical Exposure Chemicals Chemistry Childhood Communities Complex Complex Mixtures Computer Models Coupled Data Data Analyses Data Engineering Data Science Decision Making Development Disadvantaged Disasters Discipline Dose Economics Education Emergency Situation Emergency response Engineering Environmental Health Environmental Impact Evaluation Event Experimental Models Exposure to Faculty First Aid Funding Geographic Distribution Geoscience Goals Government Agencies Hazardous Chemicals Hazardous Substances Hazardous Waste Sites Health Health Hazards Human In Vitro Individual Industry Infrastructure International Lead Life Methods Modeling Modernization National Institute of Environmental Health Sciences Nongovernmental Organizations North Carolina Pathway interactions Population Population Growth Postdoctoral Fellow Predisposition Pregnancy Premature Birth Program Description Public Health Quantitative Evaluations Readiness Recovery Reproducibility Research Resources Risk Risk Assessment Sampling Science Scientist Services Site Soil Students Superfund Techniques Technology Transfer Testing Texas Time Tissue Microarray Toxic effect Training Translating Translational Research Universities Vulnerable Populations Water Weather Work adverse outcome air sampling anthropogenesis base biomedical scientist climate change community engagement community organizations cost data analysis pipeline data management disaster resilience experience first responder hazard inter-individual variation interdisciplinary approach land use multidisciplinary next generation novel novel strategies outreach preventive intervention programs rapid detection rapid technique remediation resilience respiratory health response skills socioeconomic disparity student training support tools tool volatile organic compound wasting

项目摘要

Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events Overall Program Description Climate change-associated disasters coupled with economic activity and the enhanced vulnerability of already disadvantaged communities markedly increase risks from catastrophic chemical contamination events resulting from weather-related or anthropogenic emergencies. The complexities of chemical exposures and their potential adverse health impacts, the need to rapidly and comprehensively evaluate the potential hazards of exposures to complex mixtures, and the necessity of protecting vulnerable populations and life-stages call for novel approaches in the Superfund Research Program. This Center consists of a team of well-established scientists from biomedical, geosciences, data science, and engineering disciplines who share a common goal: to develop, apply, and translate a comprehensive set of tools and models that will aid first responders, impacted communities, and government agencies in characterizing and mitigating the human health consequences of exposure to hazardous mixtures. These will be applicable for both existing contaminated waste sites and disaster-related contamination events. Project 1 will develop novel analytical and computational strategies for exposure assessment of complex mixtures. Project 2 will develop novel tools to rapidly characterize pediatric respiratory health risks from exposure to hazardous volatile organic compounds after environmental disasters. Project 3 will develop and use feto-maternal interface tissue chip models for rapid assessment of preterm birth risks of hazardous substances. Project 4 will continue development of predictive in vitro methods for quantitative evaluation of the complex mixtures and intra- and inter-individual variability in toxicity. Project 5 is responsive to the Superfund remediation mandate by using experimental and computational engineering to develop optimized multi-component sorbents for toxic mixtures. A Disaster Research Response (DR2) Core will be a centralized resource for environmental sampling and assessment before, during, and after disasters. A Data Management and Analysis Core will develop computational and statistical tools for analysis and integration of “big data” in environmental health. A Risk and Geospatial Science Core will provide the Center with data and services for characterizing human health risks and the geographic distribution of hazardous substances during disasters. The Center will engage with community organizations and public health practitioners in Texas to address health concerns of the populations that may be impacted by environmental emergency-related contamination events. We will continue training students and postdoctoral fellows in inter-disciplinary approaches across our scientific areas, decision making and emergency response. The research translation to local, state, national and international stakeholders involves both technology transfer and regular outreach. Finally, the management of this program includes close partnerships with the Texas A&M University administration and the NIEHS-funded Center for Translational Environmental Health Research, and is overseen by the advisors representing academia, federal and state agencies, industry and a non-governmental organization.

综合工具和模型，以解决暴露于混合物在环境