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Wastewater surveillance of SARS-CoV-2 across 40 U.S. states from February to June 2020.
Wu, Fuqing; Xiao, Amy; Zhang, Jianbo; Moniz, Katya; Endo, Noriko; Armas, Federica; Bushman, Mary; Chai, Peter R; Duvallet, Claire; Erickson, Timothy B; Foppe, Katelyn; Ghaeli, Newsha; Gu, Xiaoqiong; Hanage, William P; Huang, Katherine H; Lee, Wei Lin; McElroy, Kyle A; Rhode, Steven F; Matus, Mariana; Wuertz, Stefan; Thompson, Janelle; Alm, Eric J.
  • Wu F; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Xiao A; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Zhang J; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Moniz K; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Endo N; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Armas F; Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.
  • Bushman M; Harvard T.H. Chan School of Public Health, Harvard University, USA.
  • Chai PR; Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, USA; The Fenway Institute, Fenway Health, Boston, MA, USA.
  • Duvallet C; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Erickson TB; Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, USA; The Koch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, USA; Harvard Humanitarian Initiative, Harvard University.
  • Foppe K; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Ghaeli N; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Gu X; Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.
  • Hanage WP; Harvard T.H. Chan School of Public Health, Harvard University, USA.
  • Huang KH; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Lee WL; Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Interdisciplinary Research Group, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.
  • McElroy KA; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Rhode SF; Massachusetts Water Resources Authority, Boston, MA, USA.
  • Matus M; Biobot Analytics, Inc., Cambridge, MA, USA.
  • Wuertz S; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore; Civil and Environmental Engineering, Nanyang Technological University, Singapore.
  • Thompson J; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore.
  • Alm EJ; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Singapore-MIT Alliance for Research and Technology, Antimicrobial Resistance Int
Water Res ; 202: 117400, 2021 Sep 01.
Article in English | MEDLINE | ID: covidwho-1294290
ABSTRACT
Wastewater-based disease surveillance is a promising approach for monitoring community outbreaks. Here we describe a nationwide campaign to monitor SARS-CoV-2 in the wastewater of 159 counties in 40 U.S. states, covering 13% of the U.S. population from February 18 to June 2, 2020. Out of 1,751 total samples analyzed, 846 samples were positive for SARS-CoV-2 RNA, with overall viral concentrations declining from April to May. Wastewater viral titers were consistent with, and appeared to precede, clinical COVID-19 surveillance indicators, including daily new cases. Wastewater surveillance had a high detection rate (>80%) of SARS-CoV-2 when the daily incidence exceeded 13 per 100,000 people. Detection rates were positively associated with wastewater treatment plant catchment size. To our knowledge, this work represents the largest-scale wastewater-based SARS-CoV-2 monitoring campaign to date, encompassing a wide diversity of wastewater treatment facilities and geographic locations. Our findings demonstrate that a national wastewater-based approach to disease surveillance may be feasible and effective.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Water Res Year: 2021 Document Type: Article Affiliation country: J.watres.2021.117400

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Water Res Year: 2021 Document Type: Article Affiliation country: J.watres.2021.117400