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利用病毒遗传标志物对 SARS-CoV-2 进行的纵向监测及对未确诊 COVID-19 病例的估计。

Longitudinal monitoring of SARS-CoV-2 in wastewater using viral genetic markers and the estimation of unconfirmed COVID-19 cases.

机构信息

Department of Civil and Environmental Engineering, University of Nevada Reno, Reno, NV 89557, USA.

Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA.

出版信息

Sci Total Environ. 2022 Apr 15;817:152958. doi: 10.1016/j.scitotenv.2022.152958. Epub 2022 Jan 10.

Abstract

In this study, wastewater-based surveillance was carried out to establish the correlation between SARS-CoV-2 viral RNA concentrations in wastewater and the incidence of corona virus disease 2019 (COVID-19) from clinical testing. The influent wastewater of three major water reclamation facilities (WRFs) in Northern Nevada, serving a population of 390,750, was monitored for SARS-CoV-2 viral RNA gene markers, N1 and N2, from June 2020 through September 2021. A total of 614 samples were collected and analyzed. The SARS-CoV-2 concentrations in wastewater were observed to peak twice during the study period. A moderate correlation trend between coronavirus disease 2019 (COVID-19) incidence data from clinical testing and SARS-CoV-2 viral RNA concentrations in wastewater was observed (Spearman r = 0.533). This correlation improved when using weekly average SARS-CoV-2 marker concentrations of wastewater and clinical case data (Spearman r = 0.790), presumably by mitigating the inherent variability of the environmental dataset and the effects of clinical testing artifacts (e.g., reporting lags). The research also demonstrated the value of wastewater-based surveillance as an early warning signal for early detection of trends in COVID-19 incidence. This was accomplished by identifying that the reported clinical cases had a stronger correlation to SARS-CoV-2 wastewater monitoring data when they were estimated to lag 7-days behind the wastewater data. The results aided local decision makers in developing strategies to manage COVID-19 in the region and provide a framework for how wastewater-based surveillance can be applied across localities to enhance the public health monitoring of the ongoing pandemic.

摘要

本研究通过污水监测来建立污水中 SARS-CoV-2 病毒 RNA 浓度与从临床检测中得到的 2019 年冠状病毒病(COVID-19)发病率之间的相关性。我们对北内华达州三个主要水回收厂(WRF)的进水污水进行了 SARS-CoV-2 病毒 RNA 基因标记物 N1 和 N2 的监测,监测时间从 2020 年 6 月持续到 2021 年 9 月。共采集并分析了 614 个样本。在研究期间,污水中 SARS-CoV-2 的浓度观察到出现了两次峰值。观察到污水中 COVID-19 发病率数据与 SARS-CoV-2 病毒 RNA 浓度之间存在中度的相关趋势(Spearman r = 0.533)。当使用污水中 SARS-CoV-2 标记物浓度和临床病例数据的每周平均值时,相关性得到了改善(Spearman r = 0.790),这可能是通过减轻环境数据集的固有变异性和临床检测伪影的影响(例如,报告滞后)来实现的。该研究还展示了污水监测作为 COVID-19 发病率早期检测的早期预警信号的价值。这是通过确定当临床报告病例滞后于污水数据 7 天时,与 SARS-CoV-2 污水监测数据的相关性更强来实现的。这些结果有助于当地决策者制定管理该地区 COVID-19 的策略,并为如何在各地应用污水监测来加强对正在进行的大流行的公共卫生监测提供了框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e2/8743272/53cc84bbfd7c/ga1_lrg.jpg

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