Near-source passive sampling for monitoring viral outbreaks within a university residential setting.

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES Epidemiology and Infection Pub Date : 2024-02-08 DOI:10.1017/S0950268824000190
Kata Farkas, Jessica L Kevill, Latifah Adwan, Alvaro Garcia-Delgado, Rande Dzay, Jasmine M S Grimsley, Kathryn Lambert-Slosarska, Matthew J Wade, Rachel C Williams, Javier Martin, Mark Drakesmith, Jiao Song, Victoria McClure, Davey L Jones
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Abstract

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.

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近源被动采样用于监测大学住宿环境中的病毒爆发。
事实证明,废水流行病学(WBE)是监测病原体,尤其是严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)的有力工具。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,对于在近源环境中使用被动采样器来检测废水中的各种病毒,研究还很不够。为了解决这个问题,我们在学生宿舍的四个地点进行了近源被动采样。之所以选择这四个地点作为范例,是因为它们的人口密度高,疾病传播风险大。调查的病毒包括 SARS-CoV-2 及其相关变种 (VOC)、流感病毒和肠道病毒。我们利用定量聚合酶链反应 (qPCR) 和下一代测序 (NGS) 技术证明了近源被动采样在检测 VOC 方面的实用性。此外,我们还在常住学生群体中发现了几起甲型流感疫情和零星的肠道病毒疫情(其中一些与肠道病毒 D68 和柯萨奇病毒有关),从而证明了近源、下水道内采样对于监测高人口密度社区健康状况的实用性。
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来源期刊
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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