Prevalence of COVID19 in populations through wastewater surveillance

通过废水监测了解人群中新冠肺炎 (COVID19) 的流行情况

• 批准号: 551878-2020
• 负责人: Buckley, Heather
• 金额: $ 3.64万
• 依托单位: University of Victoria
• 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
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=702364
• 关键词: Prevalence; COVID19; populations; through; wastewater

We are in a global emergency caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Accurately tracking the percentage of the population suffering from COVID19 in regions of Canada and globally has been difficult due to limited testing coupled with different testing criteria in different jurisdictions. A complementary approach to tracking analyzes the virus shed to wastewater by infected people. SARS-CoV-2 can be detected in samples using quantitative polymerase chain reaction (qPCR) after its genome is reverse transcribed into DNA. The viral load present in wastewater samples can then be related to the extent of infection in the region served by the wastewater system. We will detect the levels and sequence SARS-CoV-2 viral RNA present in wastewater samples taken from different locations in BC. The first focus is Vancouver Island locations to iterate protocols and build scalable procedures and data tools to produce time-series datasets useful to public health agencies and scientific inquiry. The second phase will expand to other labs and wastewater locations in BC; additional data management tools will be developed for uniform reporting from the expanded network. A third phase will integrate the virus data with other data sources in a software platform that will provide continually updated time-series data to public health agencies. The key scientific question is whether there exists significant correlation between wastewater virus levels and clinical cases in the same regional populations. In addition to assisting public health agencies in responding to the current outbreak through targeted testing or other health system responses, the network will provide data to investigate other scientific unknowns - viral strains present in the population, seasonal variations, effects of water treatment technologies on viral load in effluent.

我们正处于严重急性呼吸系统综合征冠状病毒2型（SARS-CoV-2）引起的全球紧急情况中。由于检测有限，加上不同司法管辖区的检测标准不同，因此很难准确跟踪加拿大和全球各地区COVID 19患者的比例。一种补充的跟踪方法分析了受感染者排放到废水中的病毒。SARS-CoV-2的基因组被逆转录成DNA后，可以使用定量聚合酶链反应（qPCR）在样本中检测到。然后，废水样品中存在的病毒载量可以与废水系统所服务的区域中的感染程度相关。 我们将检测从BC省不同地点采集的废水样本中存在的SARS-CoV-2病毒RNA的水平和序列。 第一个重点是温哥华岛的位置，以简化协议，并建立可扩展的程序和数据工具，以产生对公共卫生机构和科学调查有用的时间序列数据集。 第二阶段将扩展到不列颠哥伦比亚省的其他实验室和废水处理地点;将开发更多的数据管理工具，以便从扩大的网络中统一报告。 第三阶段将把病毒数据与其他数据源整合到一个软件平台上，该平台将向公共卫生机构提供不断更新的时间序列数据。 关键的科学问题是，在同一地区人群中，废水病毒水平与临床病例之间是否存在显著相关性。除了通过有针对性的检测或其他卫生系统应对措施协助公共卫生机构应对当前疫情外，该网络还将提供数据，以调查其他科学未知数-人口中存在的病毒株，季节变化，水处理技术对污水中病毒载量的影响。