Suppr超能文献

废水发声:评估大学校园中的新冠病毒监测、采样方法及季节性感染趋势

Wastewater Speaks: Evaluating SARS-CoV-2 Surveillance, Sampling Methods, and Seasonal Infection Trends on a University Campus.

作者信息

Bhatia Shilpi, Maswanganye Tinyiko Nicole, Jeje Olusola, Winston Danielle, Lamssali Mehdi, Deng Dongyang, Blakley Ivory, Fodor Anthony A, Jeffers-Francis Liesl

机构信息

Biology Department, College of Science and Technology, North Carolina A&T State University, 1601 E. Market Street, Greensboro, NC 27411, USA.

Built Environment Department, College of Science and Technology, North Carolina A&T State University, 1601 E. Market Street, Greensboro, NC 27411, USA.

出版信息

Microorganisms. 2025 Apr 17;13(4):924. doi: 10.3390/microorganisms13040924.

Abstract

Wastewater surveillance has emerged as a cost-effective and equitable approach for tracking the spread of SARS-CoV-2. In this study, we monitored the prevalence of SARS-CoV-2 on a university campus over three years (2021-2023) using wastewater-based epidemiology (WBE). Wastewater samples were collected from 11 manholes on campus, each draining wastewater from a corresponding dormitory building, and viral RNA concentrations were measured using reverse transcription-quantitative PCR (RT-qPCR). Weekly clinical case data were also obtained from the university health center. A strong positive and significant correlation was observed between Grab and Composite sampling methods, supporting their robustness as equally effective approaches for sample collection. Specifically, a strong correlation was observed between Aggie Village 4 Grab and Aggie Village 4 Composite samples (R = 0.84, = 0.00) and between Barbee Grab and Barbee Composite samples (R = 0.80, = 0.00). Additionally, higher viral RNA copies of SARS-CoV-2 (N1 gene) were detected during the Spring semester compared to the Fall and Summer semesters. Notably, elevations in raw N1 concentrations were observed shortly after the return of college students to campus, suggesting that these increases were predominantly associated with students returning at the beginning of the Fall and Spring semesters (January and August). To account for variations in fecal loading, SARS-CoV-2 RNA concentrations were normalized using Pepper Mild Mottle Virus (PMMoV), a widely used viral fecal biomarker. However, normalization using PMMoV did not improve correlations between SARS-CoV-2 RNA levels and clinical case data. Despite these findings, our study did not establish WBE as a consistently reliable complement to clinical testing in a university campus setting, contrary to many retrospective studies. One key limitation was that numerous off-campus students did not contribute to the campus wastewater system corresponding to the monitored dormitories. However, some off-campus students were still subjected to clinical testing at the university health center under mandated protocols. Moreover, the university health center discontinued reporting cases per dormitory after 2021, making direct comparisons more challenging. Nevertheless, this study highlights the continued value of WBE as a surveillance tool for monitoring infectious diseases and provides critical insights into its application in campus environments.

摘要

废水监测已成为一种经济高效且公平的追踪新冠病毒传播的方法。在本研究中,我们利用基于废水的流行病学(WBE)在三年时间(2021 - 2023年)内监测了大学校园里新冠病毒的流行情况。从校园内11个污水井采集废水样本,每个污水井排放来自相应宿舍楼的废水,并使用逆转录定量聚合酶链反应(RT-qPCR)测量病毒RNA浓度。每周还从大学健康中心获取临床病例数据。在Grab和混合采样方法之间观察到强正相关且具有显著相关性,这支持了它们作为同样有效的样本采集方法的稳健性。具体而言,在Aggie Village 4 Grab样本和Aggie Village 4混合样本之间(R = 0.84,P = 0.00)以及在Barbee Grab样本和Barbee混合样本之间(R = 0.80,P = 0.00)观察到强相关性。此外,与秋季和夏季学期相比,春季学期检测到的新冠病毒(N1基因)的病毒RNA拷贝数更高。值得注意的是,在大学生返校后不久就观察到原始N1浓度升高,这表明这些增加主要与秋季和春季学期初(1月和8月)返校的学生有关。为了解释粪便负荷的变化,使用辣椒轻斑驳病毒(PMMoV)对新冠病毒RNA浓度进行了标准化,PMMoV是一种广泛使用的病毒粪便生物标志物。然而,使用PMMoV进行标准化并没有改善新冠病毒RNA水平与临床病例数据之间的相关性。尽管有这些发现,但与许多回顾性研究相反,我们的研究并未确立WBE在大学校园环境中作为临床检测始终可靠的补充手段。一个关键限制是,许多校外学生没有为与监测宿舍相对应的校园废水系统做出贡献。然而,一些校外学生仍根据规定协议在大学健康中心接受临床检测。此外,大学健康中心在2021年后停止报告每个宿舍的病例,这使得直接比较更具挑战性。尽管如此,本研究强调了WBE作为监测传染病的监测工具的持续价值,并为其在校园环境中的应用提供了关键见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f9/12029416/a4f965ef3177/microorganisms-13-00924-g0A1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验