ArticleScientific reports2024
Explaining the impact of mutations on quantification of SARS-CoV-2 in wastewater.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- One Assay to Rule Them All: Development of a Global Environmental DNA Tool to Support Range-Wide Surveys of an Imperiled Sawfish and Its Application in the Eastern Tropical Pacific.Ecology and evolution · 2026Article
- Article
- Optimizing solid-based methods for SARS-CoV-2 detection in wastewater: addressing PCR inhibition and variant challenges.Applied and environmental microbiology · 2025Article
- Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach.JMIR public health and surveillance · 2025Article
- The influence of environmental factors on the detection and quantification of SARS-CoV-2 variants in dormitory wastewater at a primarily undergraduate institution.Microbiology spectrum · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Wastewater surveillance is an effective tool for monitoring community spread of COVID-19 and other diseases. Quantitative PCR (qPCR) analysis for wastewater surveillance is more susceptible to mutations in target genome regions than binary PCR analysis for clinical surveillance. The SARS-CoV-2 concentrations in wastewater estimated by N1 and N2 qPCR assays started to diverge around July 2022 in data from different sampling sites, analytical methods, and analytical laboratories in Japan. On the basis of clinical genomic surveillance data and experimental data, we demonstrate that the divergence is due to two mutations in the N1 probe region, which can cause underestimation of viral concentrations. We further show that this inaccuracy can be alleviated if the qPCR data are analyzed with the second derivative method or the Cy0 method instead of the crossing point method.
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Registered trials
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