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Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19
Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a “leading indicator” of COVID-19 prevalence. Multiple studies have corroborated the leading...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282235/ https://www.ncbi.nlm.nih.gov/pubmed/34304074 http://dx.doi.org/10.1016/j.watres.2021.117433 |
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author | Olesen, Scott W. Imakaev, Maxim Duvallet, Claire |
author_facet | Olesen, Scott W. Imakaev, Maxim Duvallet, Claire |
author_sort | Olesen, Scott W. |
collection | PubMed |
description | Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a “leading indicator” of COVID-19 prevalence. Multiple studies have corroborated the leading indicator concept by showing that the correlation between wastewater measurements and COVID-19 case counts is maximized when case counts are lagged. However, the meaning of “leading indicator” will depend on the specific application of wastewater-based epidemiology, and the correlation analysis is not relevant for all applications. In fact, the quantification of a leading indicator will depend on epidemiological, biological, and health systems factors. Thus, there is no single “lead time” for wastewater-based COVID-19 monitoring. To illustrate this complexity, we enumerate three different applications of wastewater-based epidemiology for COVID-19: a qualitative “early warning” system; an independent, quantitative estimate of disease prevalence; and a quantitative alert of bursts of disease incidence. The leading indicator concept has different definitions and utility in each application. |
format | Online Article Text |
id | pubmed-8282235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82822352021-07-20 Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 Olesen, Scott W. Imakaev, Maxim Duvallet, Claire Water Res Article Individuals infected with SARS-CoV-2, the virus that causes COVID-19, may shed the virus in stool before developing symptoms, suggesting that measurements of SARS-CoV-2 concentrations in wastewater could be a “leading indicator” of COVID-19 prevalence. Multiple studies have corroborated the leading indicator concept by showing that the correlation between wastewater measurements and COVID-19 case counts is maximized when case counts are lagged. However, the meaning of “leading indicator” will depend on the specific application of wastewater-based epidemiology, and the correlation analysis is not relevant for all applications. In fact, the quantification of a leading indicator will depend on epidemiological, biological, and health systems factors. Thus, there is no single “lead time” for wastewater-based COVID-19 monitoring. To illustrate this complexity, we enumerate three different applications of wastewater-based epidemiology for COVID-19: a qualitative “early warning” system; an independent, quantitative estimate of disease prevalence; and a quantitative alert of bursts of disease incidence. The leading indicator concept has different definitions and utility in each application. The Authors. Published by Elsevier Ltd. 2021-09-01 2021-07-15 /pmc/articles/PMC8282235/ /pubmed/34304074 http://dx.doi.org/10.1016/j.watres.2021.117433 Text en © 2021 The Authors. Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Olesen, Scott W. Imakaev, Maxim Duvallet, Claire Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title | Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title_full | Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title_fullStr | Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title_full_unstemmed | Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title_short | Making waves: Defining the lead time of wastewater-based epidemiology for COVID-19 |
title_sort | making waves: defining the lead time of wastewater-based epidemiology for covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282235/ https://www.ncbi.nlm.nih.gov/pubmed/34304074 http://dx.doi.org/10.1016/j.watres.2021.117433 |
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