Department of Microbiology, Universität Innsbruck, 6020 Innsbruck, Austria.
Department of Health Sciences and Social Work, Carinthia University of Applied Sciences, 9020 Klagenfurt, Austria.
Viruses. 2023 Jan 17;15(2):263. doi: 10.3390/v15020263.
Since the start of the 2019 pandemic, wastewater-based epidemiology (WBE) has proven to be a valuable tool for monitoring the prevalence of SARS-CoV-2. With methods and infrastructure being settled, it is time to expand the potential of this tool to a wider range of pathogens. We used over 500 archived RNA extracts from a WBE program for SARS-CoV-2 surveillance to monitor wastewater from 11 treatment plants for the presence of influenza and norovirus twice a week during the winter season of 2021/2022. Extracts were analyzed via digital PCR for influenza A, influenza B, norovirus GI, and norovirus GII. Resulting viral loads were normalized on the basis of NH-N. Our results show a good applicability of ammonia-normalization to compare different wastewater treatment plants. Extracts originally prepared for SARS-CoV-2 surveillance contained sufficient genomic material to monitor influenza A, norovirus GI, and GII. Viral loads of influenza A and norovirus GII in wastewater correlated with numbers from infected inpatients. Further, SARS-CoV-2 related non-pharmaceutical interventions affected subsequent changes in viral loads of both pathogens. In conclusion, the expansion of existing WBE surveillance programs to include additional pathogens besides SARS-CoV-2 offers a valuable and cost-efficient possibility to gain public health information.
自 2019 年大流行开始以来,基于污水的流行病学(WBE)已被证明是监测 SARS-CoV-2 流行率的一种有价值的工具。随着方法和基础设施的确定,现在是时候将该工具的潜力扩展到更广泛的病原体了。我们使用了超过 500 个来自 SARS-CoV-2 监测的 WBE 计划的存档 RNA 提取物,以在 2021/2022 年冬季每两周两次监测来自 11 个处理厂的废水中流感和诺如病毒的存在。提取物通过数字 PCR 分析流感 A、流感 B、诺如病毒 GI 和诺如病毒 GII。根据 NH-N 对病毒载量进行归一化。我们的结果表明氨归一化在比较不同污水处理厂方面具有良好的适用性。最初为 SARS-CoV-2 监测制备的提取物含有足够的基因组物质,可以监测流感 A、诺如病毒 GI 和 GII。废水中流感 A 和诺如病毒 GII 的病毒载量与感染住院患者的数量相关。此外,与 SARS-CoV-2 相关的非药物干预措施影响了这两种病原体随后病毒载量的变化。总之,将现有的 WBE 监测计划扩展到包括 SARS-CoV-2 以外的其他病原体,为获取公共卫生信息提供了一种有价值且具有成本效益的可能性。