AI Article Synopsis

  • Wastewater surveillance was utilized during the COVID-19 pandemic to monitor the transmission of SARS-CoV-2, focusing on timely identification of emerging variants, especially Omicron.
  • The Oklahoma Wastewater Surveillance team used allele-specific RT-qPCR assays to detect variants, finding Omicron in wastewater about two weeks prior to official reports, confirmed by genomic sequencing.
  • The study observed a shift from Delta to Omicron prevalence in local communities and linked this transition to various demographic factors, showing the effectiveness of RT-qPCR as a method for tracking SARS-CoV-2 variants.

Article Abstract

During the COVID-19 pandemic, wastewater surveillance was used to monitor community transmission of SARS-CoV-2. As new genetic variants emerged, the need for timely identification of these variants in wastewater became an important focus. In response to increased reports of Omicron transmission across the United States, the Oklahoma Wastewater Surveillance team utilized allele-specific RT-qPCR assays to detect and differentiate variants, such as Omicron, from other variants found in wastewater in Oklahoma. The PCR assays showed presence of the Omicron variant in Oklahoma on average two weeks before official reports, which was confirmed through genomic sequencing of selected wastewater samples. Through continued surveillance from November 2021 to January 2022, we also demonstrated the transition from prevalence of the Delta variant to prevalence of the Omicron variant in local communities. We further assessed how this transition correlated with certain demographic factors characterizing each community. Our results highlight RT-qPCR assays as a rapid, simple, and cost-effective method for monitoring the community spread of SARS-CoV-2 genetic variants in wastewater. Additionally, they demonstrate that specific demographic factors such as ethnic composition and household income can correlate with the timing of SARS-CoV-2 variant introduction and spread.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11509313PMC
http://dx.doi.org/10.3390/microorganisms12102001DOI Listing

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