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dc.contributor.authorDuvallet, Claire
dc.contributor.authorWu, Fuqing
dc.contributor.authorMcElroy, Kyle A
dc.contributor.authorImakaev, Maxim
dc.contributor.authorEndo, Noriko
dc.contributor.authorXiao, Amy
dc.contributor.authorZhang, Jianbo
dc.contributor.authorFloyd-O’Sullivan, Róisín
dc.contributor.authorPowell, Morgan M
dc.contributor.authorMendola, Samuel
dc.contributor.authorWilson, Shane T
dc.contributor.authorCruz, Francis
dc.contributor.authorMelman, Tamar
dc.contributor.authorSathyanarayana, Chaithra Lakshmi
dc.contributor.authorOlesen, Scott W
dc.contributor.authorErickson, Timothy B
dc.contributor.authorGhaeli, Newsha
dc.contributor.authorChai, Peter
dc.contributor.authorAlm, Eric J
dc.contributor.authorMatus, Mariana
dc.date.accessioned2023-01-26T17:45:18Z
dc.date.available2023-01-26T17:45:18Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147742
dc.description.abstractWastewater-based epidemiology has emerged as a promising technology for population-level surveillance of COVID-19. In this study, we present results of a large nationwide SARS-CoV-2 wastewater monitoring system in the United States. We profile 55 locations with at least six months of sampling from April 2020 to May 2021. These locations represent more than 12 million individuals across 19 states. Samples were collected approximately weekly by wastewater treatment utilities as part of a regular wastewater surveillance service and analyzed for SARS-CoV-2 RNA concentrations. SARS-CoV-2 RNA concentrations were normalized to pepper mild mottle virus, an indicator of fecal matter in wastewater. We show that wastewater data reflect temporal and geographic trends in clinical COVID-19 cases and investigate the impact of normalization on correlations with case data within and across locations. We also provide key lessons learned from our broad-scale implementation of wastewater-based epidemiology, which can be used to inform wastewater-based epidemiology approaches for future emerging diseases. This work demonstrates that wastewater surveillance is a feasible approach for nationwide population-level monitoring of COVID-19 disease. With an evolving epidemic and effective vaccines against SARS-CoV-2, wastewater-based epidemiology can serve as a passive surveillance approach for detecting changing dynamics or resurgences of the virus.en_US
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionof10.1021/ACSESTWATER.1C00434en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceACSen_US
dc.titleNationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United Statesen_US
dc.typeArticleen_US
dc.identifier.citationDuvallet, Claire, Wu, Fuqing, McElroy, Kyle A, Imakaev, Maxim, Endo, Noriko et al. 2022. "Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States." ACS ES&T Water, 2 (11).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.relation.journalACS ES&T Wateren_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-26T17:40:41Z
dspace.orderedauthorsDuvallet, C; Wu, F; McElroy, KA; Imakaev, M; Endo, N; Xiao, A; Zhang, J; Floyd-O’Sullivan, R; Powell, MM; Mendola, S; Wilson, ST; Cruz, F; Melman, T; Sathyanarayana, CL; Olesen, SW; Erickson, TB; Ghaeli, N; Chai, P; Alm, EJ; Matus, Men_US
dspace.date.submission2023-01-26T17:40:45Z
mit.journal.volume2en_US
mit.journal.issue11en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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