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模拟和测量了废水监测的污水池系统中的SARS-CoV-2病毒

Dong Li¹, Hunter Quon², Jared Ervin³

¹Bren School of Environmental Science & Management, University of California, Santa Barbara, CA 93016, USA

Journal of water and health

|September 27, 2023

概括

在化系统中对SARS-CoV-2的废水监测可以估计未排污社区的COVID-19流行率. 这种方法分析了污泥和分离,在没有传统污水处理厂的地方提供公共卫生见解.

科学领域:

环境科学环境科学
公共卫生公共卫生
病毒学病毒学

背景情况:

废水处理厂 (WWTP) 的传统废水监测 (WWS) 有效地监测了下水人口中的COVID-19流行率.
依赖于污水池系统 (STS) 或储的未被排污地区缺乏已建立的WWS方法,这阻碍了疾病监测.

研究的目的:

探索和开发使用STSs在未下水区的SARS-CoV-2废水监测方法.
估计STS使用者中的COVID-19感染率,并分析分期的SARS-CoV-2度.

主要方法:

从两个服务于加利福尼亚州马里布州祖马海的大型STS中直接采集上游物和污泥的样本.
开发基于质量平衡的动态固体液体分离模型,以估计用户感染率.
对于SARS-CoV-2基因检测和衰变率的WWTP处置前后抽分离的分析.

主要成果:

在96%的STS污泥样本中检测到SARS-CoV-2 N1和N2基因,其度高于超,深度增加并与总悬浮固体 (TSS) 相对应.
卡车分离包含可检测的SARS-CoV-2基因,这些基因随着时间的推移而衰变 (系数:0.09-0.29h-1).
在STS用户中,模拟的COVID-19流行率在五个月内从8%到18%不等,最初反映了一个更大的大都市地区.

结论:

在未经排水的地区使用STS,SARS-CoV-2 WWS是可行的,提供了有价值的公共卫生数据.
用户感染率的公共储可以使用STS WWS.估计.
检测送和拉送的细分可以帮助推断疾病在未排水地区的传播,增加传统的WWS.

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