Near-source passive sampling for monitoring viral outbreaks within a university residential setting
Near-source passive sampling for monitoring viral outbreaks within a university residential setting
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DOI：
10.1017/s0950268824000190
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发表时间：
2024-02-08
影响因子：
4.2
通讯作者：
Jones，Davey L.
中科院分区：
文献类型：
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作者：
Farkas，Kata;Kevill，Jessica L.;Jones，Davey L.
废水流行病学 (WBE) 已被证明是人群层面病原体监测的有力工具，特别是严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2)。为了进行评估，已经研究了几种废水采样制度和病毒浓度方法，主要针对 SARS-CoV-2。然而，在近源环境中使用被动采样器检测废水中的一系列病毒的研究仍然不足。为了解决这个问题，在针对学生宿舍的四个地点采集了近源被动样本。由于人口密度高且存在疾病传播风险，这些地区被选为范例。研究的病毒包括 SARS-CoV-2 及其相关变种 (VOC)、流感病毒和肠道病毒。采样要么在早上进行，被动采样器放置过夜（17 小时），要么在白天进行，暴露时间为 7 小时。我们证明了近源被动采样在使用定量聚合酶链反应 (qPCR) 和新一代测序 (NGS) 检测 VOC 方面的有用性。此外，在学生群体中发现了多起甲型流感疫情和零星肠道病毒疫情（其中一些与肠道病毒 D68 和柯萨奇病毒相关），这为近源下水道采样对于监测高人口密度社区健康状况的有用性提供了证据。
Wastewater-based epidemiology (WBE) has proven to be a powerful tool for the population-level monitoring of pathogens, particularly severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). For assessment, several wastewater sampling regimes and methods of viral concentration have been investigated, mainly targeting SARS-CoV-2. However, the use of passive samplers in near-source environments for a range of viruses in wastewater is still under-investigated. To address this, near-source passive samples were taken at four locations targeting student hall of residence. These were chosen as an exemplar due to their high population density and perceived risk of disease transmission. Viruses investigated were SARS-CoV-2 and its variants of concern (VOCs), influenza viruses, and enteroviruses. Sampling was conducted either in the morning, where passive samplers were in place overnight (17 h) and during the day, with exposure of 7 h. We demonstrated the usefulness of near-source passive sampling for the detection of VOCs using quantitative polymerase chain reaction (qPCR) and next-generation sequencing (NGS). Furthermore, several outbreaks of influenza A and sporadic outbreaks of enteroviruses (some associated with enterovirus D68 and coxsackieviruses) were identified among the resident student population, providing evidence of the usefulness of near-source, in-sewer sampling for monitoring the health of high population density communities.