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SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penet...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566278/ https://www.ncbi.nlm.nih.gov/pubmed/32694130 http://dx.doi.org/10.1128/mSystems.00614-20 |
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author | Wu, Fuqing Zhang, Jianbo Xiao, Amy Gu, Xiaoqiong Lee, Wei Lin Armas, Federica Kauffman, Kathryn Hanage, William Matus, Mariana Ghaeli, Newsha Endo, Noriko Duvallet, Claire Poyet, Mathilde Moniz, Katya Washburne, Alex D. Erickson, Timothy B. Chai, Peter R. Thompson, Janelle Alm, Eric J. |
author_facet | Wu, Fuqing Zhang, Jianbo Xiao, Amy Gu, Xiaoqiong Lee, Wei Lin Armas, Federica Kauffman, Kathryn Hanage, William Matus, Mariana Ghaeli, Newsha Endo, Noriko Duvallet, Claire Poyet, Mathilde Moniz, Katya Washburne, Alex D. Erickson, Timothy B. Chai, Peter R. Thompson, Janelle Alm, Eric J. |
author_sort | Wu, Fuqing |
collection | PubMed |
description | Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the N gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the S gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. IMPORTANCE Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence. |
format | Online Article Text |
id | pubmed-7566278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-75662782020-10-30 SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases Wu, Fuqing Zhang, Jianbo Xiao, Amy Gu, Xiaoqiong Lee, Wei Lin Armas, Federica Kauffman, Kathryn Hanage, William Matus, Mariana Ghaeli, Newsha Endo, Noriko Duvallet, Claire Poyet, Mathilde Moniz, Katya Washburne, Alex D. Erickson, Timothy B. Chai, Peter R. Thompson, Janelle Alm, Eric J. mSystems Research Article Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the N gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the S gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. IMPORTANCE Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence. American Society for Microbiology 2020-07-21 /pmc/articles/PMC7566278/ /pubmed/32694130 http://dx.doi.org/10.1128/mSystems.00614-20 Text en Copyright © 2020 Wu et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Wu, Fuqing Zhang, Jianbo Xiao, Amy Gu, Xiaoqiong Lee, Wei Lin Armas, Federica Kauffman, Kathryn Hanage, William Matus, Mariana Ghaeli, Newsha Endo, Noriko Duvallet, Claire Poyet, Mathilde Moniz, Katya Washburne, Alex D. Erickson, Timothy B. Chai, Peter R. Thompson, Janelle Alm, Eric J. SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title_full | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title_fullStr | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title_full_unstemmed | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title_short | SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases |
title_sort | sars-cov-2 titers in wastewater are higher than expected from clinically confirmed cases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566278/ https://www.ncbi.nlm.nih.gov/pubmed/32694130 http://dx.doi.org/10.1128/mSystems.00614-20 |
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