SARS-CoV-2 wastewater surveillance in the Czech Republic: Spatial and temporal differences in SARS-CoV-2 RNA concentrations and relationship to clinical data and wastewater parameters

IF 7.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Kateřina Sovová , Petra Vašíčková , Vojtěch Valášek , David Výravský , Věra Očenášková , Eva Juranová , Milena Bušová , Milan Tuček , Vladimír Bencko , Hana Zvěřinová Mlejnková
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Abstract

This study presents the results of systematic wastewater monitoring of SARS-CoV-2 RNA and basic wastewater parameters from four different wastewater treatment plants (WWTPs) in the Czech Republic over the 2020–2022 epidemic. Two-step reverse-transcription quantitative PCR targeting genes encoding the N and Nsp12 proteins was employed to detect SARS-CoV-2 RNA loading in 420 wastewater samples. The results obtained were used to evaluate the potential of wastewater analysis for describing the epidemiological situation in cities of different sizes and determining temporal differences based on the prevailing SARS-CoV-2 variant. Strong correlations between the number of active and hospitalised COVID‐19 cases in each WWTP catchment area and the concentration of SARS-CoV-2 RNA detected in the wastewater clearly demonstrated the suitability of this wastewater-based epidemiological approach for WWTPs of different sizes and characteristics, despite differences in SARS-CoV-2 variant waves, with some WWTPs showing high predictive potential. This study demonstrated on the data from the Czech Republic that targeted systematic monitoring of wastewater provides sufficiently robust data for surveillance of viral loads in sample populations, and thus contributes to preventing the spread of infection and subsequent introduction of appropriate measures.

Abstract Image

捷克共和国的 SARS-CoV-2 废水监测:SARS-CoV-2 RNA 浓度的时空差异以及与临床数据和废水参数的关系
本研究介绍了在 2020-2022 年疫情期间对捷克共和国四个不同污水处理厂(WWTPs)的 SARS-CoV-2 RNA 和基本废水参数进行系统废水监测的结果。研究采用了两步逆转录定量 PCR 法,以编码 N 蛋白和 Nsp12 蛋白的基因为目标,检测 420 份废水样本中的 SARS-CoV-2 RNA 含量。所获得的结果被用来评估废水分析在描述不同规模城市的流行病学情况以及根据流行的 SARS-CoV-2 变体确定时间差异方面的潜力。每个污水处理厂集水区的 COVID-19 活动病例和住院病例数与废水中检测到的 SARS-CoV-2 RNA 浓度之间的强相关性清楚地表明,尽管 SARS-CoV-2 变体波不同,但这种基于废水的流行病学方法适用于不同规模和特征的污水处理厂,其中一些污水处理厂显示出很高的预测潜力。这项研究通过捷克共和国的数据表明,对废水进行有针对性的系统监测,可以为监测样本人群中的病毒载量提供足够可靠的数据,从而有助于防止感染的传播和随后采取适当的措施。
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来源期刊
Water Research X
Water Research X Environmental Science-Water Science and Technology
CiteScore
12.30
自引率
1.30%
发文量
19
期刊介绍: Water Research X is a sister journal of Water Research, which follows a Gold Open Access model. It focuses on publishing concise, letter-style research papers, visionary perspectives and editorials, as well as mini-reviews on emerging topics. The Journal invites contributions from researchers worldwide on various aspects of the science and technology related to the human impact on the water cycle, water quality, and its global management.
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