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Survey of rapid development of environmental surveillance methods for SARS-CoV-2 detection in wastewater.
Zhou, Nicolette A; Tharpe, Courtney; Meschke, John Scott; Ferguson, Christobel M.
  • Zhou NA; Environmental and Occupational Health Sciences, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA 98105, United States of America.
  • Tharpe C; Water Research Foundation, 1199 N Fairfax St., Suite 900, Alexandria, VA 22314, United States of America.
  • Meschke JS; Environmental and Occupational Health Sciences, University of Washington, 4225 Roosevelt Way NE, Suite 100, Seattle, WA 98105, United States of America.
  • Ferguson CM; Water Research Foundation, 1199 N Fairfax St., Suite 900, Alexandria, VA 22314, United States of America. Electronic address: cferguson@waterrf.org.
Sci Total Environ ; 769: 144852, 2021 May 15.
Article en En | MEDLINE | ID: mdl-33486187
ABSTRACT
Environmental surveillance as a part of wastewater-based epidemiology (WBE) of SARS-CoV-2 can provide an early, cost-effective, unbiased community-level indicator of circulating COVID-19 in a population. The objective of this study was to determine how widely SARS-CoV-2 detection in wastewater is being investigated and what methods are used. A survey was developed and distributed, with results showing that methods were rapidly applied to conduct SARS-CoV-2 WBE, primarily to test wastewater influent from large urban wastewater treatment plants. Additionally, most methods utilized small wastewater volumes and the primary concentration methods used were polyethylene glycol precipitation, membrane filtration and centrifugal ultrafiltration followed by nucleic acid extraction and assay for primarily nucleocapsid gene targets (N1, N2, and/or N3). Since this survey was performed, many laboratories have continued to optimize and implement a variety of methods for SARS-CoV-2 WBE. Method comparison studies completed since this survey was conducted will assist in developing WBE as a supplemental tool to support public health and policy decision making responses.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aguas Residuales / COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aguas Residuales / COVID-19 Tipo de estudio: Diagnostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article