A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations

Abstract There is a need for wastewater based epidemiological (WBE) methods that integrate multiple, variously sized surveillance sites across geographic areas. We developed a novel indexing method, Melvin’s Index, that provides a normalized and standardized metric of wastewater pathogen load for qP...

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Autores principales:	Richard G. Melvin, Emily N. Hendrickson, Nabiha Chaudhry, Onimitein Georgewill, Rebecca Freese, Timothy W. Schacker, Glenn E. Simmons
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/283462e4a1534da7a97b55c1b25659eb
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spelling	oai:doaj.org-article:283462e4a1534da7a97b55c1b25659eb2021-11-08T10:53:48ZA novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations10.1038/s41598-021-00853-y2045-2322https://doaj.org/article/283462e4a1534da7a97b55c1b25659eb2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00853-yhttps://doaj.org/toc/2045-2322Abstract There is a need for wastewater based epidemiological (WBE) methods that integrate multiple, variously sized surveillance sites across geographic areas. We developed a novel indexing method, Melvin’s Index, that provides a normalized and standardized metric of wastewater pathogen load for qPCR assays that is resilient to surveillance site variation. To demonstrate the utility of Melvin’s Index, we used qRT-PCR to measure SARS-CoV-2 genomic RNA levels in influent wastewater from 19 municipal wastewater treatment facilities (WWTF’s) of varying sizes and served populations across the state of Minnesota during the Summer of 2020. SARS-CoV-2 RNA was detected at each WWTF during the 20-week sampling period at a mean concentration of 8.5 × 104 genome copies/L (range 3.2 × 102–1.2 × 109 genome copies/L). Lag analysis of trends in Melvin’s Index values and clinical COVID-19 cases showed that increases in indexed wastewater SARS-CoV-2 levels precede new clinical cases by 15–17 days at the statewide level and by up to 25 days at the regional/county level. Melvin’s Index is a reliable WBE method and can be applied to both WWTFs that serve a wide range of population sizes and to large regions that are served by multiple WWTFs.Richard G. MelvinEmily N. HendricksonNabiha ChaudhryOnimitein GeorgewillRebecca FreeseTimothy W. SchackerGlenn E. SimmonsNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Richard G. Melvin Emily N. Hendrickson Nabiha Chaudhry Onimitein Georgewill Rebecca Freese Timothy W. Schacker Glenn E. Simmons A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
description	Abstract There is a need for wastewater based epidemiological (WBE) methods that integrate multiple, variously sized surveillance sites across geographic areas. We developed a novel indexing method, Melvin’s Index, that provides a normalized and standardized metric of wastewater pathogen load for qPCR assays that is resilient to surveillance site variation. To demonstrate the utility of Melvin’s Index, we used qRT-PCR to measure SARS-CoV-2 genomic RNA levels in influent wastewater from 19 municipal wastewater treatment facilities (WWTF’s) of varying sizes and served populations across the state of Minnesota during the Summer of 2020. SARS-CoV-2 RNA was detected at each WWTF during the 20-week sampling period at a mean concentration of 8.5 × 104 genome copies/L (range 3.2 × 102–1.2 × 109 genome copies/L). Lag analysis of trends in Melvin’s Index values and clinical COVID-19 cases showed that increases in indexed wastewater SARS-CoV-2 levels precede new clinical cases by 15–17 days at the statewide level and by up to 25 days at the regional/county level. Melvin’s Index is a reliable WBE method and can be applied to both WWTFs that serve a wide range of population sizes and to large regions that are served by multiple WWTFs.
format	article
author	Richard G. Melvin Emily N. Hendrickson Nabiha Chaudhry Onimitein Georgewill Rebecca Freese Timothy W. Schacker Glenn E. Simmons
author_facet	Richard G. Melvin Emily N. Hendrickson Nabiha Chaudhry Onimitein Georgewill Rebecca Freese Timothy W. Schacker Glenn E. Simmons
author_sort	Richard G. Melvin
title	A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
title_short	A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
title_full	A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
title_fullStr	A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
title_full_unstemmed	A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations
title_sort	novel wastewater-based epidemiology indexing method predicts sars-cov-2 disease prevalence across treatment facilities in metropolitan and regional populations
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/283462e4a1534da7a97b55c1b25659eb
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A novel wastewater-based epidemiology indexing method predicts SARS-CoV-2 disease prevalence across treatment facilities in metropolitan and regional populations

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