ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Virology
Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1657397
Beyond Clinical Data: The Role of Sewage Monitoring in Tracking Pandemic Trends of SARS-CoV-2
Provisionally accepted
- Yantai Center for Disease Control and Prevention, Yantai, China
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The SARS-CoV-2 pandemic has caused a global crisis that has impacted not only health care systems, but also economies and societies. The constraints in clinical testing provide challenges in reliably assessing the prevalence of variations, particularly in regions with limited resources, testing, and sequencing capabilities. Sewage-based epidemiology uses SARS-CoV-2 in sewage as an indicator, can monitor and provide early warning of viral transmission in communities, thereby informing response strategies. In this study, sewage samples and clinical patient samples were collected in Yantai City, Shandong Province. RT-qPCR and high-throughput sequencing techniques were employed to identify and analyze SARS-CoV-2, respectively. Our results showed that the dynamic trend of SARS-CoV-2 RNA concentration in sewage samples coincided with the positive rate of clinical surveillance cases (Spearman's ρ = 0.97, P < 0.001). A significantly higher number of SARS-CoV-2 lineages were detected in sewage compared to clinical samples (paired t-test, t = 6, df = 4, P < 0.05), and the growth of the dominant strain can be detected in sewage samples up to a week in advance. Our study demonstrates that effluent genomic surveillance is a rapid, sensitive, and scalable method. It enables the timely identification of SARS-CoV-2 variants and the detection of hidden transmission. It can be applied to SARS-CoV-2 early warning as well as epidemiologic surveillance.However, this study has certain limitations. First, due to financial constraints, only a limited number of clinical samples were analyzed, which may have underestimated the diversity of SARS-CoV-2 lineages in the patient population. Second, the absence of information on the physicochemical characteristics of sewage may have limited our understanding of environmental factors affecting viral stability and detection efficiency.
Keywords: SARS-CoV-2, Sewage, RT-qPCR, high-throughput sequencing, Genomic surveillance
Received: 01 Jul 2025; Accepted: 08 Aug 2025.
Copyright: © 2025 Zhenlu, Sun, Guo, Zhao, Cong Li, Zhang, Yan, Yang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Sun Zhenlu, Yantai Center for Disease Control and Prevention, Yantai, China
Guifang Zhang, Yantai Center for Disease Control and Prevention, Yantai, China
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