Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  Kaya, Devrim ; Falender, Rebecca ; Radniecki, Tyler ; Geniza, Matthew ; Cieslak, Paul ; Kelly, Christine ; Lininger, Noah ; Sutton, Melissa
• Description:
  SARS-CoV-2 variant proportions in a population can be estimated through genomic sequencing of clinical specimens or wastewater samples. We demonstrate strong pairwise correlation between statewide variant estimates in Oregon, USA, derived from both methods (correlation coefficient 0.97). Our results provide crucial evidence of the effectiveness of community-level genomic surveillance.
• Subjects:
  COVID-19 Genomics Humans SARS-COV-2 Waste Water Wastewater-Based Epidemiological Monitorin
• Source:
  Emerg Infect Dis. 2022; 28(9):1906-1908
• Pubmed ID:
  35840124
• Pubmed Central ID:
  PMC9423899
• Document Type:
  Journal Article
• Genre:
  Letter
• Place as Subject:
  Oregon
• Volume:
  28
• Issue:
  9
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:2bf55d9ef50fc629e727f1be98ec8d493c1645da85b86a282a7a9ad1d0ca91d6
• Download URL:
  https://stacks.cdc.gov/view/cdc/121065/cdc_121065_DS1.pdf
• File Type:
  [PDF - 1005.29 KB ]