Hospital wastewater surveillance for SARS-CoV-2 identifies intra-hospital dynamics of viral transmission and evolution.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Applied and Environmental Microbiology Pub Date : 2025-07-23 Epub Date: 2025-07-01 DOI:10.1128/aem.00501-25
Medini K Annavajhala, Anne L Kelley, Lingsheng Wen, Maya Tagliavia, Sofia Z Moscovitz, Heekuk Park, Simian Huang, Jason E Zucker, Anne-Catrin Uhlemann
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引用次数: 0

Abstract

Wastewater testing has emerged as an effective, widely used tool for population-level severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) surveillance. Such efforts have been implemented primarily at wastewater treatment plants, providing data for large resident populations but hindering the ability to implement targeted interventions or follow-ups. Conversely, building-level wastewater data exhibit increased variability due to rapid daily population dynamics but allow for targeted follow-up or mitigation efforts. Here, we implemented a three-site wastewater sampling strategy on our university-affiliated medical campus from May 2021 to March 2024, comprised of two distinct hospital quadrants and a building primarily consisting of research laboratories and classrooms. We first addressed several limitations in implementing hospital-level wastewater surveillance by optimizing sampling frequency and laboratory techniques. We subsequently improved our ability to model SARS-CoV-2 case counts using wastewater data by performing sensitivity analyses on viral shedding assumptions and testing the utility of internal normalization factors for population size. Our unique infrastructure allowed us to detect intra-hospital dynamics of SARS-CoV-2 prevalence and diversity and confirmed that direct sequencing of wastewater was able to capture corresponding clinical viral diversity. In contrast, research building wastewater sampling showed that for most non-residential settings, despite low overall viral loads, a threshold approach can still be used to identify peaks in cases or transmission among the general population. Our study expands on current wastewater surveillance practices by examining the utility of, and best practices for, upstream and particularly hospital settings, enabling the use of non-municipal, medium-scale wastewater testing to inform efforts for reducing the burden of coronavirus disease 2019 (COVID-19).IMPORTANCESince the onset of the coronavirus disease 2019 (COVID-19) pandemic, wastewater surveillance has been increasingly implemented to track the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Most wastewater testing across the United States occurs at municipal wastewater treatment plants. Yet, this testing method could also be beneficial at non-municipal and non-residential sites, including hospitals, where wastewater data for SARS-CoV-2 signals and viral diversity could directly impact hospital practices to control its spread. We analyzed both hospital and non-residential research building wastewater over a 3-year period to establish optimized methods for collecting and interpreting wastewater data at sites upstream of treatment plants. We found that even within a single hospital building, wastewater testing in different locations showed distinct signatures over time, which corresponded with data from patients hospitalized in those locations. This study provides a framework for the use of wastewater viral surveillance upstream of municipal treatment plants to enable targeted interventions to limit the spread of SARS-CoV-2.

医院废水监测SARS-CoV-2确定了病毒在医院内传播和进化的动态。
废水检测已成为一种有效的、广泛使用的人口水平严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)监测工具。这种努力主要在污水处理厂实施,为大量常住人口提供了数据,但妨碍了实施有针对性的干预措施或后续行动的能力。相反,由于每天人口的快速动态,建筑物层面的废水数据表现出更大的可变性,但允许有针对性的后续行动或缓解努力。在这里,我们从2021年5月到2024年3月在我们大学附属的医学校园实施了一个三站点的废水采样策略,包括两个不同的医院象限和一个主要由研究实验室和教室组成的建筑。我们首先通过优化采样频率和实验室技术解决了实施医院级废水监测的几个限制。随后,我们通过对病毒脱落假设进行敏感性分析,并测试种群规模的内部归一化因子的效用,提高了利用废水数据模拟SARS-CoV-2病例数的能力。我们独特的基础设施使我们能够检测医院内SARS-CoV-2流行率和多样性的动态,并证实废水的直接测序能够捕获相应的临床病毒多样性。相比之下,研究建筑废水采样表明,对于大多数非住宅环境,尽管总体病毒载量较低,但阈值方法仍可用于确定病例或一般人群中的传播高峰。我们的研究通过研究上游特别是医院环境的效用和最佳做法,扩展了当前的废水监测实践,使非市政中等规模废水检测能够为减轻2019冠状病毒病(COVID-19)负担的工作提供信息。自2019冠状病毒病(COVID-19)大流行爆发以来,越来越多地实施废水监测,以跟踪严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)的传播。美国的大多数废水检测都是在市政污水处理厂进行的。然而,这种测试方法也可能对非市政和非住宅场所有益,包括医院,在这些场所,关于SARS-CoV-2信号和病毒多样性的废水数据可能直接影响医院控制其传播的做法。我们分析了3年来医院和非住宅研究建筑的废水,以建立在处理厂上游站点收集和解释废水数据的优化方法。我们发现,即使在同一栋医院大楼内,不同地点的废水测试也随着时间的推移显示出不同的特征,这与这些地点住院患者的数据相对应。本研究为在城市处理厂上游使用废水病毒监测提供了一个框架,以实现有针对性的干预措施,以限制SARS-CoV-2的传播。
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
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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