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Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste

[Image: see text] Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs,...

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Autores principales: Zhan, Qingyu, Babler, Kristina M., Sharkey, Mark E., Amirali, Ayaaz, Beaver, Cynthia C., Boone, Melinda M., Comerford, Samuel, Cooper, Daniel, Cortizas, Elena M., Currall, Benjamin B., Foox, Jonathan, Grills, George S., Kobetz, Erin, Kumar, Naresh, Laine, Jennifer, Lamar, Walter E., Mantero, Alejandro M.A., Mason, Christopher E., Reding, Brian D., Robertson, Maria, Roca, Matthew A., Ryon, Krista, Schürer, Stephan C., Shukla, Bhavarth S., Solle, Natasha Schaefer, Stevenson, Mario, Tallon Jr, John J., Thomas, Collette, Thomas, Tori, Vidović, Dušica, Williams, Sion L., Yin, Xue, Solo-Gabriele, Helena M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664448/
https://www.ncbi.nlm.nih.gov/pubmed/36398131
http://dx.doi.org/10.1021/acsestwater.2c00045
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author Zhan, Qingyu
Babler, Kristina M.
Sharkey, Mark E.
Amirali, Ayaaz
Beaver, Cynthia C.
Boone, Melinda M.
Comerford, Samuel
Cooper, Daniel
Cortizas, Elena M.
Currall, Benjamin B.
Foox, Jonathan
Grills, George S.
Kobetz, Erin
Kumar, Naresh
Laine, Jennifer
Lamar, Walter E.
Mantero, Alejandro M.A.
Mason, Christopher E.
Reding, Brian D.
Robertson, Maria
Roca, Matthew A.
Ryon, Krista
Schürer, Stephan C.
Shukla, Bhavarth S.
Solle, Natasha Schaefer
Stevenson, Mario
Tallon Jr, John J.
Thomas, Collette
Thomas, Tori
Vidović, Dušica
Williams, Sion L.
Yin, Xue
Solo-Gabriele, Helena M.
author_facet Zhan, Qingyu
Babler, Kristina M.
Sharkey, Mark E.
Amirali, Ayaaz
Beaver, Cynthia C.
Boone, Melinda M.
Comerford, Samuel
Cooper, Daniel
Cortizas, Elena M.
Currall, Benjamin B.
Foox, Jonathan
Grills, George S.
Kobetz, Erin
Kumar, Naresh
Laine, Jennifer
Lamar, Walter E.
Mantero, Alejandro M.A.
Mason, Christopher E.
Reding, Brian D.
Robertson, Maria
Roca, Matthew A.
Ryon, Krista
Schürer, Stephan C.
Shukla, Bhavarth S.
Solle, Natasha Schaefer
Stevenson, Mario
Tallon Jr, John J.
Thomas, Collette
Thomas, Tori
Vidović, Dušica
Williams, Sion L.
Yin, Xue
Solo-Gabriele, Helena M.
author_sort Zhan, Qingyu
collection PubMed
description [Image: see text] Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant. Wastewater data were combined with complementary COVID-19 case tracking to evaluate the efficiency of wastewater surveillance for forecasting new COVID-19 cases and, for the larger scale, hospitalizations. Results show that the normalization of SARS-CoV-2 levels by PMMoV and B2M resulted in improved correlations with COVID-19 cases for campus data using volcano second generation (V2G)-qPCR chemistry (r(s) = 0.69 without normalization, r(s) = 0.73 with normalization). Mixed results were obtained for normalization by PMMoV for samples collected at the community scale. Overall benefits from normalizing with measures of human waste depend upon qPCR chemistry and improves with smaller sewershed scale. We recommend further studies that evaluate the efficacy of additional normalization targets.
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spelling pubmed-96644482022-11-15 Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste Zhan, Qingyu Babler, Kristina M. Sharkey, Mark E. Amirali, Ayaaz Beaver, Cynthia C. Boone, Melinda M. Comerford, Samuel Cooper, Daniel Cortizas, Elena M. Currall, Benjamin B. Foox, Jonathan Grills, George S. Kobetz, Erin Kumar, Naresh Laine, Jennifer Lamar, Walter E. Mantero, Alejandro M.A. Mason, Christopher E. Reding, Brian D. Robertson, Maria Roca, Matthew A. Ryon, Krista Schürer, Stephan C. Shukla, Bhavarth S. Solle, Natasha Schaefer Stevenson, Mario Tallon Jr, John J. Thomas, Collette Thomas, Tori Vidović, Dušica Williams, Sion L. Yin, Xue Solo-Gabriele, Helena M. ACS ES T Water [Image: see text] Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant. Wastewater data were combined with complementary COVID-19 case tracking to evaluate the efficiency of wastewater surveillance for forecasting new COVID-19 cases and, for the larger scale, hospitalizations. Results show that the normalization of SARS-CoV-2 levels by PMMoV and B2M resulted in improved correlations with COVID-19 cases for campus data using volcano second generation (V2G)-qPCR chemistry (r(s) = 0.69 without normalization, r(s) = 0.73 with normalization). Mixed results were obtained for normalization by PMMoV for samples collected at the community scale. Overall benefits from normalizing with measures of human waste depend upon qPCR chemistry and improves with smaller sewershed scale. We recommend further studies that evaluate the efficacy of additional normalization targets. American Chemical Society 2022-05-26 2022-11-11 /pmc/articles/PMC9664448/ /pubmed/36398131 http://dx.doi.org/10.1021/acsestwater.2c00045 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Zhan, Qingyu
Babler, Kristina M.
Sharkey, Mark E.
Amirali, Ayaaz
Beaver, Cynthia C.
Boone, Melinda M.
Comerford, Samuel
Cooper, Daniel
Cortizas, Elena M.
Currall, Benjamin B.
Foox, Jonathan
Grills, George S.
Kobetz, Erin
Kumar, Naresh
Laine, Jennifer
Lamar, Walter E.
Mantero, Alejandro M.A.
Mason, Christopher E.
Reding, Brian D.
Robertson, Maria
Roca, Matthew A.
Ryon, Krista
Schürer, Stephan C.
Shukla, Bhavarth S.
Solle, Natasha Schaefer
Stevenson, Mario
Tallon Jr, John J.
Thomas, Collette
Thomas, Tori
Vidović, Dušica
Williams, Sion L.
Yin, Xue
Solo-Gabriele, Helena M.
Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title_full Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title_fullStr Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title_full_unstemmed Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title_short Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste
title_sort relationships between sars-cov-2 in wastewater and covid-19 clinical cases and hospitalizations, with and without normalization against indicators of human waste
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664448/
https://www.ncbi.nlm.nih.gov/pubmed/36398131
http://dx.doi.org/10.1021/acsestwater.2c00045
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