Estimating Relative Abundance of 2 SARS-CoV-2 Variants through Wastewater Surveillance at 2 Large Metropolitan Sites, United States

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Yu, Alexander T. ; Hughes, Bridgette ; Wolfe, Marlene K. ; Leon, Tomas ; Duong, Dorothea ; Rabe, Angela ; Kennedy, Lauren C. ; Ravuri, Sindhu ; White, Bradley J. ; Wigginton, Krista R. ; Boehm, Alexandria B. ; Vugia, Duc J.
  More +
• Description:
  Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) is critical for public health management of coronavirus disease. Sequencing is resource-intensive and incompletely representative, and not all isolates can be sequenced. Because wastewater SARS-CoV-2 RNA concentrations correlate with coronavirus disease incidence in sewersheds, tracking VOCs through wastewater is appealing. We developed digital reverse transcription PCRs to monitor abundance of select mutations in Alpha and Delta VOCs in wastewater settled solids, applied these to July 2020-August 2021 samples from 2 large US metropolitan sewersheds, and compared results to estimates of VOC abundance from case isolate sequencing. Wastewater measurements tracked closely with case isolate estimates (Alpha, r| 0.82-0.88; Delta, r| 0.97). Mutations were detected in wastewater even at levels <5% of total SARS-CoV-2 RNA and in samples available 1-3 weeks before case isolate results. Wastewater variant monitoring should be strategically deployed to complement case isolate sequencing.
• Subjects:
  • Covid-19
  • Humans
  • Rna, Viral
  • Sars-Cov-2
  • Waste Water
  • Wastewater-Based Epidemiological Monitoring
• Source:
  Emerg Infect Dis. 2022; 28(5):940-947
• Pubmed ID:
  35349402
• Pubmed Central ID:
  PMC9045426
• Document Type:
  Journal Article
• Funding:
  U01 CK000539/CK/NCEZID CDC HHSUnited States/ ; U01CK000539/ACL/ACL HHSUnited States/
• Place as Subject:
  United States
• Volume:
  28
• Issue:
  5
• Download URL:
  https://stacks.cdc.gov/view/cdc/117298/cdc_117298_DS1.pdf
• File Type:
  [PDF - 1.45 MB]
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:f52f5054a07b788598c22540c3e3f1aff8226e659d0b17335b078ccadae3a100