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Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States.
Duvallet, Claire; Wu, Fuqing; McElroy, Kyle A; Imakaev, Maxim; Endo, Noriko; Xiao, Amy; Zhang, Jianbo; Floyd-O'Sullivan, Róisín; Powell, Morgan M; Mendola, Samuel; Wilson, Shane T; Cruz, Francis; Melman, Tamar; Sathyanarayana, Chaithra Lakshmi; Olesen, Scott W; Erickson, Timothy B; Ghaeli, Newsha; Chai, Peter; Alm, Eric J; Matus, Mariana.
Afiliação
  • Duvallet C; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Wu F; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • McElroy KA; MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States.
  • Imakaev M; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Endo N; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Xiao A; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Zhang J; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Floyd-O'Sullivan R; MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States.
  • Powell MM; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Mendola S; MIT Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142, United States.
  • Wilson ST; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Cruz F; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Melman T; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Sathyanarayana CL; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Olesen SW; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Erickson TB; Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, United States.
  • Ghaeli N; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Chai P; Biobot Analytics, Inc., Cambridge, Massachusetts 02139, United States.
  • Alm EJ; Department of Emergency Medicine, Harvard Medical School, Boston, Massachusetts 02115, United States.
  • Matus M; Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, United States.
ACS ES T Water ; 2(11): 1899-1909, 2022 Nov 11.
Article em En | MEDLINE | ID: mdl-36380771
ABSTRACT
Wastewater-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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article