Literature DB >> 33398255

Early-pandemic wastewater surveillance of SARS-CoV-2 in Southern Nevada: Methodology, occurrence, and incidence/prevalence considerations.

Daniel Gerrity1,2, Katerina Papp1, Mitchell Stoker1, Alan Sims1, Wilbur Frehner1.   

Abstract

The World Health Organization (WHO) classified COVID-19 as a global pandemic, with the situation ultimately requiring unprecedented measures to mitigate the effects on public health and the global economy. Although SARS-CoV-2 (the virus responsible for COVID-19) is primarily respiratory in nature, multiple studies confirmed its genetic material could be detected in the feces of infected individuals, thereby highlighting sewage as a potential indicator of community incidence or prevalence. Numerous wastewater surveillance studies subsequently confirmed detection of SARS-CoV-2 RNA in wastewater and wastewater-associated solids/sludge. However, the methods employed in early studies vary widely so it is unclear whether differences in reported concentrations reflect true differences in epidemiological conditions, or are instead driven by methodological artifacts. The current study aimed to compare the performance of virus recovery and detection methods, detect and quantify SARS-CoV-2 genetic material in two Southern Nevada sewersheds from March-May 2020, and better understand the potential link between COVID-19 incidence/prevalence and wastewater concentrations of SARS-CoV-2 RNA. SARS-CoV-2 surrogate recovery (0.34%-55%) and equivalent sample volume (0.1 mL-1 L) differed between methods and target water matrices, ultimately impacting method sensitivity and reported concentrations. Composite sampling of influent and primary effluent resulted in a ∼10-fold increase in concentration relative to corresponding grab primary effluent samples, presumably highlighting diurnal variability in SARS-CoV-2 signal. Detection and quantification of four SARS-CoV-2 genetic markers (up to ∼106 gene copies per liter), along with ratios of SARS-CoV-2 to pepper mild mottle virus (PMMoV), exhibited comparability with public health data for two sewersheds in an early phase of the pandemic. Finally, a wastewater model informed by fecal shedding rates highlighted the potential significance of new cases (i.e., incidence rather than prevalence) when interpreting wastewater surveillance data.
© 2020 The Author(s).

Entities:  

Keywords:  COVID-19; Incidence; Prevalence; SARS-CoV-2; Sewage; Wastewater surveillance

Year:  2020        PMID: 33398255      PMCID: PMC7774458          DOI: 10.1016/j.wroa.2020.100086

Source DB:  PubMed          Journal:  Water Res X        ISSN: 2589-9147


  49 in total

Review 1.  Wastewater, waste, and water-based epidemiology (WWW-BE): A novel hypothesis and decision-support tool to unravel COVID-19 in low-income settings?

Authors:  Willis Gwenzi
Journal:  Sci Total Environ       Date:  2021-09-30       Impact factor: 7.963

2.  Wastewater-Based Estimation of the Effective Reproductive Number of SARS-CoV-2.

Authors:  Jana S Huisman; Jérémie Scire; Lea Caduff; Xavier Fernandez-Cassi; Pravin Ganesanandamoorthy; Anina Kull; Andreas Scheidegger; Elyse Stachler; Alexandria B Boehm; Bridgette Hughes; Alisha Knudson; Aaron Topol; Krista R Wigginton; Marlene K Wolfe; Tamar Kohn; Christoph Ort; Tanja Stadler; Timothy R Julian
Journal:  Environ Health Perspect       Date:  2022-05-26       Impact factor: 11.035

3.  SARS-CoV-2 RNA in Wastewater Was Highly Correlated With the Number of COVID-19 Cases During the Fourth and Fifth Pandemic Wave in Kobe City, Japan.

Authors:  Yoshihiko Tanimoto; Erika Ito; Sonoko Miyamoto; Ai Mori; Ryohei Nomoto; Noriko Nakanishi; Naohiro Oka; Takao Morimoto; Tomotada Iwamoto
Journal:  Front Microbiol       Date:  2022-06-09       Impact factor: 6.064

4.  Standardizing data reporting in the research community to enhance the utility of open data for SARS-CoV-2 wastewater surveillance.

Authors:  Jill S McClary-Gutierrez; Zachary T Aanderud; Mitham Al-Faliti; Claire Duvallet; Raul Gonzalez; Joe Guzman; Rochelle H Holm; Michael A Jahne; Rose S Kantor; Panagis Katsivelis; Katrin Gaardbo Kuhn; Laura M Langan; Cresten Mansfeldt; Sandra L McLellan; Lorelay M Mendoza Grijalva; Kevin S Murnane; Colleen C Naughton; Aaron I Packman; Sotirios Paraskevopoulos; Tyler S Radniecki; Fernando A Roman; Abhilasha Shrestha; Lauren B Stadler; Joshua A Steele; Brian M Swalla; Peter Vikesland; Brian Wartell; Carol J Wilusz; Judith Chui Ching Wong; Alexandria B Boehm; Rolf U Halden; Kyle Bibby; Jeseth Delgado Vela
Journal:  Environ Sci (Camb)       Date:  2021       Impact factor: 4.251

5.  Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology.

Authors:  Guangming Jiang; Jiangping Wu; Jennifer Weidhaas; Xuan Li; Yan Chen; Jochen Mueller; Jiaying Li; Manish Kumar; Xu Zhou; Sudipti Arora; Eiji Haramoto; Samendra Sherchan; Gorka Orive; Unax Lertxundi; Ryo Honda; Masaaki Kitajima; Greg Jackson
Journal:  Water Res       Date:  2022-04-13       Impact factor: 13.400

6.  Development of a large volume concentration method for recovery of coronavirus from wastewater.

Authors:  Brian R McMinn; Asja Korajkic; Julie Kelleher; Michael P Herrmann; Adin C Pemberton; Warish Ahmed; Eric N Villegas; Kevin Oshima
Journal:  Sci Total Environ       Date:  2021-02-09       Impact factor: 7.963

7.  Catching a resurgence: Increase in SARS-CoV-2 viral RNA identified in wastewater 48 h before COVID-19 clinical tests and 96 h before hospitalizations.

Authors:  Patrick M D'Aoust; Tyson E Graber; Elisabeth Mercier; Danika Montpetit; Ilya Alexandrov; Nafisa Neault; Aiman Tariq Baig; Janice Mayne; Xu Zhang; Tommy Alain; Mark R Servos; Nivetha Srikanthan; Malcolm MacKenzie; Daniel Figeys; Douglas Manuel; Peter Jüni; Alex E MacKenzie; Robert Delatolla
Journal:  Sci Total Environ       Date:  2021-01-22       Impact factor: 7.963

Review 8.  Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology.

Authors:  Xuan Li; Shuxin Zhang; Jiahua Shi; Stephen P Luby; Guangming Jiang
Journal:  Chem Eng J       Date:  2021-02-20       Impact factor: 13.273

9.  Data-driven estimation of COVID-19 community prevalence through wastewater-based epidemiology.

Authors:  Xuan Li; Jagadeeshkumar Kulandaivelu; Shuxin Zhang; Jiahua Shi; Muttucumaru Sivakumar; Jochen Mueller; Stephen Luby; Warish Ahmed; Lachlan Coin; Guangming Jiang
Journal:  Sci Total Environ       Date:  2021-05-23       Impact factor: 7.963

10.  Tools for interpretation of wastewater SARS-CoV-2 temporal and spatial trends demonstrated with data collected in the San Francisco Bay Area.

Authors:  Hannah D Greenwald; Lauren C Kennedy; Adrian Hinkle; Oscar N Whitney; Vinson B Fan; Alexander Crits-Christoph; Sasha Harris-Lovett; Avi I Flamholz; Basem Al-Shayeb; Lauren D Liao; Matt Beyers; Daniel Brown; Alicia R Chakrabarti; Jason Dow; Dan Frost; Mark Koekemoer; Chris Lynch; Payal Sarkar; Eileen White; Rose Kantor; Kara L Nelson
Journal:  Water Res X       Date:  2021-07-31
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