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Expanding the wastewater-based epidemiology toolkit for monitoring COVID-19 community transmission in Canada

Expanding the wastewater-based epidemiology toolkit for monitoring COVID-19 community transmission in Canada
扩展基于废水的流行病学工具包,用于监测加拿大的 COVID-19 社区传播
批准号:
554612-2020
负责人:
Ziels, Ryan
金额:
$3.64万
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
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英文摘要
As the outbreak of COVID-19 wears on and economies begin to re-open, there is a dire need for early warning signals that can catch new surges of outbreaks in Canada. Because SARS-CoV-2 is found in the stool of infected patients, the virus is also detectable in municipal wastewater receiving human waste from a larger population during an outbreak. The molecular signature of SARS-CoV-2 in wastewater therefore may be a useful indicator of early outbreaks at municipal levels. Yet, several knowledge gaps exist before major municipalities, such as Metro Vancouver, can utilize SARS-CoV-2 monitoring as a predictive epidemiology tool, including a lack of optimized viral quantification and recovery and no approaches to study the genomic diversity of the virus in wastewater. The purpose of this research is to partner with Metro Vancouver to expand wastewater-based epidemiology methodology to evaluate SARS-CoV-2 recoveries and best practices for quantification in wastewater, as well as develop new approaches for metagenomic sequencing of SARS-CoV-2 in such samples. Metro Vancouver will utilize the research results to inform the Canadian public utilities sector of the fate of SARS-CoV-2 in wastewater treatment, as well as share the data with public health agencies, such as the BC Center for Disease and Control, to augment current population modelling of COVID-19. The developed methods and results from this project will be thereby utilized to monitor community transmission of COVID-19 within a major Canadian municipality, to characterize the fate of SARS-CoV-2 during wastewater treatment, to provide an early warning of new waves of illness, and to ascertain the effectiveness of public health outbreak mitigation measures.
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