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Scaling of SARS-CoV-2 RNA in Settled Solids from Multiple Wastewater Treatment Plants to Compare Incidence Rates of Laboratory-Confirmed COVID-19 in Their Sewersheds
Environmental Science & Technology Letters ( IF 8.9 ) Pub Date : 2021-04-12 , DOI: 10.1021/acs.estlett.1c00184
Marlene K Wolfe 1 , Anand Archana 1 , David Catoe 2 , Mhara M Coffman 1 , Samuel Dorevich 3 , Katherine E Graham 1 , Sooyeol Kim 1 , Lorelay Mendoza Grijalva 1 , Laura Roldan-Hernandez 1 , Andrea I Silverman 4, 5 , Nasa Sinnott-Armstrong 6 , Duc J Vugia 7 , Alexander T Yu 7 , Winnie Zambrana 1 , Krista R Wigginton 8 , Alexandria B Boehm 1
Affiliation  

Published and unpublished reports show that SARS-CoV-2 RNA in publicly owned treatment work (POTW) wastewater influent and solids is associated with new COVID-19 cases or incidence in associated sewersheds, but methods for comparing data collected from diverse POTWs to infer information about the relative incidence of laboratory-confirmed COVID-19 cases, and scaling to allow such comparisons, have not been previously established. Here, we show that SARS-CoV-2 N1 and N2 concentrations in solids normalized by concentrations of PMMoV RNA in solids can be used to compare incidence of laboratory confirmed new COVID-19 cases across POTWs. Using data collected at seven POTWs along the United States West Coast, Midwest, and East Coast serving ∼3% of the U.S. population (9 million people), we show that a 1 log change in N gene/PMMoV is associated with a 0.24 (range 0.19 to 0.29) log10 change in incidence of laboratory confirmed COVID-19. Scaling of N1 and N2 by PMMoV is consistent, conceptually, with a mass balance model relating SARS-CoV-2 RNA to the number of infected individuals shedding virus in their stool. This information should support the application of wastewater-based epidemiology to inform the response to the COVID-19 pandemic and potentially future viral pandemics.

中文翻译:

对多个废水处理厂的沉淀固体中的 SARS-CoV-2 RNA 进行缩放,以比较其下水道中实验室确诊的 COVID-19 的发病率

已发表和未发表的报告显示,公共处理工作 (POTW) 废水进水和固体中的 SARS-CoV-2 RNA 与新的 COVID-19 病例或相关下水道的发病率相关,但比较从不同 POTW 收集的数据以推断信息的方法此前尚未确定实验室确诊的 COVID-19 病例的相对发生率以及进行此类比较的比例。在这里,我们表明,通过固体中 PMMoV RNA 浓度标准化的固体中 SARS-CoV-2 N1 和 N2 浓度可用于比较 POTW 中实验室确诊的新 COVID-19 病例的发生率。使用在美国西海岸、中西部和东海岸的 7 个 POTW 收集的数据,这些数据覆盖了约 3% 的美国人口(900 万人),我们发现 N 基因/PMMoV 的 1 个对数变化与 0.24(范围 0.19 至 0.29) log 10实验室确诊的 COVID-19 发病率变化。从概念上讲,PMMoV 对 N1 和 N2 的缩放与 SARS-CoV-2 RNA 与粪便中排出病毒的感染者数量相关的质量平衡模型是一致的。这些信息应支持基于废水的流行病学的应用,为应对 COVID-19 大流行和未来潜在的病毒大流行提供信息。
更新日期:2021-05-11
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