RAPID: Monitoring for SARS-CoV-2 in municipal wastewater and sewage to elucidate infection dynamics across major metropolitan areas of the United States
RAPID: Monitoring for SARS-CoV-2 in municipal wastewater and sewage to elucidate infection dynamics across major metropolitan areas of the United States
批准号:
2029025
负责人:
Francis de los Reyes
金额:
$20.0万
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:
2020-05-15 至 2021-04-30
中文摘要
全球COVID-19疫情对公共卫生及经济造成重大影响。目前,全球有超过200万例COVID-19确诊病例,其中美国有近70万例。有限的检测能力和无症状感染导致SARS-CoV 2(导致COVID-19的病毒)感染的实际人数存在重大未知数。因此,迫切需要追踪SARS-CoV 2的替代方法。该RAPID项目的目标是通过监测CA、NC、华盛顿DC和TX四个城市废水中的SARS-CoV 2来监测公共卫生。样本将在这四个城市的感染高峰期之前、期间和之后收集,从而收集对了解当前大流行至关重要的数据。冠状病毒水平将使用针对病毒特定部分的方法来确定。废水数据将与医疗保健系统的数据进行比较,以确定测试废水是否有助于预测社区中的COVID-19存在。从这项研究中获得的知识将促进对如何使用废水检测来引导医疗资源到各个社区的理解,减少未来爆发期间对更大社区的长期经济破坏。有限的诊断检测和无症状感染导致SARS-CoV 2感染的实际程度存在很大的不确定性。对城市污水的分析相当于分析来自所有社区成员的合并样本,用于社区规模的感染动态测量。在四个主要的地理位置不同的大都市地区,橙子县,罗利,华盛顿和华盛顿特区,休斯顿的协调努力将解决在使用废水监测作为公共卫生监测工具的知识差距。在整个感染期间,将从四个城市污水处理厂收集原始废水和主要固体,以量化样本中的SARS-CoV 2、季节性流感和肠道病毒。使用相同的实验方案并将其他病毒纳入该分析将验证和扩大对废水监测作为除SARS-CoV 2以外的各种人类病毒的公共卫生监测工具的理解。该团队拥有公共卫生和废水处理专业知识,可以研究废水数据与临床数据的关系。这项研究的结果将有助于描述废水监测作为公共卫生监测工具的全部潜力,并帮助公共卫生官员为未来的疫情做好准备。结果和方法将通过FAIR(可发现、可访问、可互操作和可重复使用)协议公开共享,以帮助研究废水中SARS-CoV 2的更大研究人员网络。该奖项反映了NSF的法定使命,并被认为值得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来支持。
英文摘要
The global COVID-19 pandemic has created major impacts to public health and the economy. Currently, there are over two million confirmed cases of COVID-19 worldwide, with nearly 700,000 cases in the United States. Limited testing capacity and asymptomatic infections have resulted in significant unknowns in the actual number of infections by SARS-CoV2 (the virus responsible for COVID-19). Therefore, alternative methods of tracking the SARS-CoV2 are urgently needed. The goal of this RAPID project monitor public health by surveilling SARS-CoV2 presence in wastewater in four cities in CA, NC, Washington DC, and TX. Samples will be gathered before, during, and after infection peaks in these four cities, creating a data collection essential to understanding the current pandemic. Coronavirus levels will be determined using methods that target specific parts of the virus. The wastewater data will be compared to data from the healthcare system to determine if testing wastewater can help predict COVID-19 presence in a community. Knowledge gained from this study will advance the understanding of how wastewater testing can be used to guide healthcare resources to individual communities, reducing long-term economic disruption of the larger community during future outbreaks.Limited diagnostic testing and asymptomatic infections result in large uncertainty in the actual extent of SARS-CoV2 infections. Analysis of municipal wastewater is equivalent to analyzing a pooled sample from all community members for a community-scale measure of infection dynamics. A coordinated effort across four major geographically diverse metropolitan areas, Orange County, Raleigh, Washington, and DC, Houston will address knowledge gaps in the use of wastewater surveillance as a public health monitoring tool. Raw wastewater and primary solids will be collected from four municipal wastewater treatment plants throughout the infection period to quantify SARS-CoV2, seasonal influenza, and an enteric virus in the samples. Using identical experimental protocols and incorporating other viruses into this analysis will validate and expand the understanding of wastewater surveillance as a public health monitoring tool for various human viruses in addition to SARS-CoV2. The team has public health and wastewater treatment expertise to examine how wastewater data relates to clinical data. The results from this study will help to characterize the full potential of wastewater surveillance as a public health monitoring tool and help prepare public health officials for future outbreaks. Results and methods will be shared in publicly available using FAIR (findable, accessible, interoperable, and reusable) protocols to assist the larger network of researchers studying SARS-CoV2 in wastewater.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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1021/acsestwater.2c00106
发表时间:
2022-07-15
期刊:
ACS ES&T WATER
影响因子:
--
作者:
[Al-Faliti, Mitham, Kotlarz, Nadine, Vela, Jeseth Delgado]
通讯作者:
Vela, Jeseth Delgado
DOI:
10.1039/d1ew00235j
发表时间:
2021-07-16
期刊:
ENVIRONMENTAL SCIENCE-WATER RESEARCH & TECHNOLOGY
影响因子:
5
作者:
[McClary-Gutierrez, Jill S., Aanderud, Zachary T., Vela, Jeseth Delgado]
通讯作者:
Vela, Jeseth Delgado
NSF IRES Track I: Filling the gaps in WaSH research through field-based student research experiences in Malawi
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批准号:2246372
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项目类别:Standard Grant
-
资助金额:$30.0万
-
财政年份:2023
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负责人:Francis de los Reyes
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依托单位:
Planning Grant: Engineering Research Center on Sanitation and Water Infrastructure of the Future for Marginalized Communities (SWIFt-MC)
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批准号:1937085
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2019
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负责人:Francis de los Reyes
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依托单位:
Using Microbial Ecology Theory to Understand Microbial Community Dynamics and Improve Function of Anaerobic Bioreactors
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批准号:1805666
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项目类别:Standard Grant
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资助金额:$32.67万
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财政年份:2018
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负责人:Francis de los Reyes
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依托单位:
Inducing Aerobic Granulation in Continuous-Flow Reactors using Shear Variability
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批准号:1336544
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项目类别:Standard Grant
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资助金额:$29.98万
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财政年份:2013
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负责人:Francis de los Reyes
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依托单位:
Identifying and Quantifying Active Denitrifiers in Complex Environments Using Functional Gene Expression Analysis
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批准号:0853864
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2009
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负责人:Francis de los Reyes
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依托单位:
Ecophysiology of Nitrifying and Denitrifying Microbial Communities and their Interactions in Microbial Flocs
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批准号:0348392
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项目类别:Continuing Grant
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资助金额:$0.0万
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财政年份:2004
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负责人:Francis de los Reyes
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依托单位:
CAREER: Molecular and Engineering Approaches for Analyzing Microbial Selection in Activated Sludge: Competition between Filaments and Floc-formers
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批准号:0092851
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项目类别:Continuing Grant
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资助金额:$37.5万
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财政年份:2001
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负责人:Francis de los Reyes
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依托单位:
海外基金