Department of Civil, Geological, and Environmental Engineering, College of Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada; School of Environment and Sustainability, University of Saskatchewan, Saskatoon, SK, Canada; Toxicology Centre, University of Saskatchewan, Saskatoon, SK, Canada; Centre for Hydrology, University of Saskatchewan, Saskatoon, SK, Canada.
Sci Total Environ. 2022 Dec 15;852:158421. doi: 10.1016/j.scitotenv.2022.158421. Epub 2022 Sep 1.
Wastewater-based surveillance (WBS) has been an effective tool for monitoring and understanding potential SARS-CoV-2 transmission across small and large-scale communities. In this study at the University of Saskatchewan, the assessment of SARS-CoV-2 was done over eight months during the 2021-2022 academic year. Wastewater samples were collected using passive samplers that were deployed in domestic sewer lines near adjacent campus residences and extracted for viral RNA, followed by Reverse Transcription quantitative Polymerase Chain Reaction (RT-qPCR). The results showed similar trends for SARS-CoV-2 detection frequencies and viral loads across university residences, the whole campus, and from related WBS at Saskatoon Wastewater Treatment Plant. The maximum daily detection frequency for seven dormitories considered was about 75 %, while maximum daily case numbers for the residences and campus-wide were about 11 and 75 people, respectively. In addition, self-reported rates of infection on campus peaked during similar time frames as increases in viral load were detected at the Saskatoon wastewater treatment plant. These similarities indicate the usefulness and cost-effectiveness of monitoring the spread of COVID-19 in small-scale communities using WBS.
基于污水的监测(WBS)已成为监测和了解小型和大型社区中潜在 SARS-CoV-2 传播的有效工具。在萨斯喀彻温大学的这项研究中,在 2021-2022 学年期间进行了为期八个月的 SARS-CoV-2 评估。使用被动采样器收集污水样本,这些采样器部署在邻近校园住宅附近的家庭污水管道中,并提取病毒 RNA,然后进行逆转录定量聚合酶链反应(RT-qPCR)。结果表明,在大学校园宿舍、整个校园以及萨斯卡通污水处理厂的相关 WBS 中,SARS-CoV-2 的检测频率和病毒载量呈现出相似的趋势。考虑到的七个宿舍的最高日检测频率约为 75%,而宿舍和校园范围内的最高日病例数分别约为 11 人和 75 人。此外,校园内自我报告的感染率在病毒载量检测到增加的同时达到峰值,这表明使用 WBS 监测小型社区 COVID-19 传播的有效性和成本效益。