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

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...

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Detalles Bibliográficos
Autores principales: Kaya, Devrim, Falender, Rebecca, Radniecki, Tyler, Geniza, Matthew, Cieslak, Paul, Kelly, Christine, Lininger, Noah, Sutton, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2022
Materias:
Research Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423899/
https://www.ncbi.nlm.nih.gov/pubmed/35840124
http://dx.doi.org/10.3201/eid2809.220938
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author Kaya, Devrim
Falender, Rebecca
Radniecki, Tyler
Geniza, Matthew
Cieslak, Paul
Kelly, Christine
Lininger, Noah
Sutton, Melissa
author_facet Kaya, Devrim
Falender, Rebecca
Radniecki, Tyler
Geniza, Matthew
Cieslak, Paul
Kelly, Christine
Lininger, Noah
Sutton, Melissa
author_sort Kaya, Devrim
collection PubMed
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.
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spelling pubmed-94238992022-09-07 Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA Kaya, Devrim Falender, Rebecca Radniecki, Tyler Geniza, Matthew Cieslak, Paul Kelly, Christine Lininger, Noah Sutton, Melissa Emerg Infect Dis Research Letter 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. Centers for Disease Control and Prevention 2022-09 /pmc/articles/PMC9423899/ /pubmed/35840124 http://dx.doi.org/10.3201/eid2809.220938 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research Letter
Kaya, Devrim
Falender, Rebecca
Radniecki, Tyler
Geniza, Matthew
Cieslak, Paul
Kelly, Christine
Lininger, Noah
Sutton, Melissa
Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title_full Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title_fullStr Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title_full_unstemmed Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title_short Correlation between Clinical and Wastewater SARS-CoV-2 Genomic Surveillance, Oregon, USA
title_sort correlation between clinical and wastewater sars-cov-2 genomic surveillance, oregon, usa
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423899/
https://www.ncbi.nlm.nih.gov/pubmed/35840124
http://dx.doi.org/10.3201/eid2809.220938
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