Detection and infectivity of SARS-CoV-2 in Korean municipal wastewater facilities and characterization of environmental factors influencing wastewater-bound SARS-CoV-2†

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jayun Kim, Yoon-ji Kim, Sook-young Lee, Jae-Ku Oem, Subin Kim, Keugtae Kim, Woosik Jung, Sungpyo Kim, Dong-Hwan Jeong, Minjoo Lee, Soo-Hyung Lee, Hyunook Kim and Joonhong Park
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Abstract

Wastewater-based epidemiology can track infectious diseases and COVID-19 surges. There is variability in viral signals from wastewater owing to numerous sample processing and virus detection methods, and many factors including characteristics of wastewater treatment plants (WWTPs) should be considered to consistently associate the signals with COVID-19 prevalence. This study optimized the virus detection method, validated the use of a process-control virus, investigated 22 WWTPs across South Korea (covering approximately 20% of the population) during two periods (24.8 versus 2027.4 weekly COVID-19 cases per 100 000 people), tested the infectivity of SARS-CoV-2 in wastewater, and characterized the environmental factors influencing wastewater-bound SARS-CoV-2 and local COVID-19 using data-driven models (DDMs). The most sensitive virus quantification methods were selected (PEG precipitation and commercial kits for RT-qPCR detection, approximately 39% more sensitive) by comparing various methods. Using a surrogate virus showed reduced variation (approximately 24%) between the intra- and inter-laboratory results. The number of WWTPs with positive detection of SARS-CoV-2 in raw wastewater increased (four to twenty) as the national COVID-19 cases peaked. SARS-CoV-2 is more likely to be detected in moderately sized facilities located in populated areas with sanitary sewer systems. In addition, results of infectivity testing suggested no potential for COVID-19 transmission through wastewater. The DDMs indicated that the air temperature, water quality, and number of COVID-19 cases were related to the SARS-CoV-2 in wastewater. Community COVID-19 cases were predicted (test performance: 0.703–0.970) with the data on wastewater viral load and other variables implying that these factors should be monitored for wastewater surveillance.

Abstract Image

Abstract Image

韩国城市污水设施中 SARS-CoV-2 的检测和感染性以及影响污水中 SARS-CoV-2 的环境因素的特征描述
以废水为基础的流行病学可追踪传染病和 COVID-19 的激增。由于样本处理和病毒检测方法繁多,废水中的病毒信号存在变异,要将信号与 COVID-19 流行率联系起来,应考虑包括污水处理厂(WWTP)特征在内的多种因素。本研究优化了病毒检测方法,验证了过程控制病毒的使用,调查了韩国 22 家污水处理厂(覆盖约 20% 的人口)在两个时期的情况(每 10 万人中 COVID-19 每周病例数分别为 24.8 例和 2027.4 例),检测了废水中 SARS-CoV-2 的感染性,并使用数据驱动模型(DDM)描述了影响废水中 SARS-CoV-2 和当地 COVID-19 的环境因素。通过比较各种方法,选出了最灵敏的病毒定量方法(PEG 沉淀法和 RT-qPCR 检测商业试剂盒,灵敏度高出约 39%)。使用替代病毒可减少实验室内和实验室间结果的差异(约 24%)。随着全国 COVID-19 病例达到高峰,原废水中检测出 SARS-CoV-2 呈阳性的污水处理厂数量也在增加(从四家增加到二十家)。SARS-CoV-2 更有可能在位于人口稠密地区、拥有卫生下水道系统的中等规模设施中检测到。此外,传染性测试结果表明 COVID-19 没有通过废水传播的可能性。DDM 表明,空气温度、水质和 COVID-19 病例数与废水中的 SARS-CoV-2 有关。社区 COVID-19 病例与废水病毒载量和其他变量数据的预测结果(测试性能:0.703-0.970)表明,在废水监测中应监测这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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