Author
Devin North
Bio: Devin North is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Wastewater & Fecal coliform. The author has an hindex of 6, co-authored 8 publications receiving 246 citations.
Papers
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University of Notre Dame1, Royal Institute of Technology2, Commonwealth Scientific and Industrial Research Organisation3, Massachusetts Institute of Technology4, Stanford University5, Georgia Institute of Technology6, Catalan Institute for Water Research7, University of Calabria8, University of Pisa9, Mario Negri Institute for Pharmacological Research10, Federal University of Bahia11, North Carolina State University12, Howard University13, Bangor University14, École Polytechnique Fédérale de Lausanne15, University of Arizona16, Southern Nevada Water Authority17, University of Barcelona18, University of Yamanashi19, University of California, Santa Barbara20, Hokkaido University21, Indian Institute of Technology Gandhinagar22, Toyama Prefectural University23, Istituto Superiore di Sanità24, University of Naples Federico II25, University of Wisconsin–Milwaukee26, University of Washington27, University of Queensland28, University of North Carolina at Chapel Hill29, University of Antwerp30, Yale University31, Tufts University32, Michigan State University33, Spanish National Research Council34, University of Southern California35, Rice University36, Georgia State University37, University of Osnabrück38, University of Michigan39
TL;DR: Author(s): Bivins, Aaron; North, Devin; Ahmad, Arslan; Ahmed, Warish; Alm, Eric; Been, Frederic; Bhattacharya, Prosun; Bijlsma, Lubertus; Boehm, Alexandria B; Brown, Joe; Buttiglieri, Gianluigi; Calabro, Vincenza; Carducci, Annalaura; Castiglioni, Sara; Cetecioglu Guro
Abstract: Author(s): Bivins, Aaron; North, Devin; Ahmad, Arslan; Ahmed, Warish; Alm, Eric; Been, Frederic; Bhattacharya, Prosun; Bijlsma, Lubertus; Boehm, Alexandria B; Brown, Joe; Buttiglieri, Gianluigi; Calabro, Vincenza; Carducci, Annalaura; Castiglioni, Sara; Cetecioglu Gurol, Zeynep; Chakraborty, Sudip; Costa, Federico; Curcio, Stefano; de Los Reyes, Francis L; Delgado Vela, Jeseth; Farkas, Kata; Fernandez-Casi, Xavier; Gerba, Charles; Gerrity, Daniel; Girones, Rosina; Gonzalez, Raul; Haramoto, Eiji; Harris, Angela; Holden, Patricia A; Islam, Md Tahmidul; Jones, Davey L; Kasprzyk-Hordern, Barbara; Kitajima, Masaaki; Kotlarz, Nadine; Kumar, Manish; Kuroda, Keisuke; La Rosa, Giuseppina; Malpei, Francesca; Mautus, Mariana; McLellan, Sandra L; Medema, Gertjan; Meschke, John Scott; Mueller, Jochen; Newton, Ryan J; Nilsson, David; Noble, Rachel T; van Nuijs, Alexander; Peccia, Jordan; Perkins, T Alex; Pickering, Amy J; Rose, Joan; Sanchez, Gloria; Smith, Adam; Stadler, Lauren; Stauber, Christine; Thomas, Kevin; van der Voorn, Tom; Wigginton, Krista; Zhu, Kevin; Bibby, Kyle
325 citations
TL;DR: In this article, the authors established a framework to critique the potential of wastewater-based epidemiology to serve as an early warning system, with special attention to the onset of viral shedding and the differential between results reporting for WBE and clinical testing.
64 citations
10 Sep 2021
TL;DR: Recovery-corrected SARS-CoV-2 RNA concentrations in primary influent indicate diurnal loading patterns and confirm monitoring dependent on grab samples should target daytime periods with high fecal loading, and large variation both within- and between-days may preclude robust quantitative analyses beyond correlation.
Abstract: Wastewater surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA is being used to monitor Coronavirus Disease 2019 (COVID-19) trends in communities;however, within- and between-day variation of SARS-CoV-2 RNA concentration in primary influent remains largely uncharacterized. In the current study, grab sampling of primary influent was performed every 2 h over two 24-h periods at two wastewater treatment plants (WWTPs) in northern Indiana, USA. The recovery efficiency of endogenous SARS-CoV-2 RNA in wastewater was confirmed to be similar to the recovery efficiency of the process control, bovine respiratory syncytial virus (BRSV). Recovery-corrected SARS-CoV-2 RNA concentrations in primary influent indicate diurnal loading patterns and confirm monitoring dependent on grab samples should target daytime periods with high fecal loading. Importantly, manual compositing performed at the WWTP resulted in concentrations that were consistently lower than grab sample averages indicating potential bias. Uncorrected, recovery-corrected, and pepper mild mottle virus (PMMoV)-normalized SARS-CoV-2 RNA concentrations demonstrated an ordinal agreement with increasing clinical COVID-19 positivity but not COVID-19 cases. In areas where geolocated COVID-19 case data are not available, the COVID-19 positivity rate could provide a useful county-level metric for comparison with wastewater. Nonetheless, large variation both within- and between-days may preclude robust quantitative analyses beyond correlation.
38 citations
TL;DR: It is demonstrated that crAssphage is an abundant viral fecal indicator in wastewater with statistically significant correlation with human viral pathogens (e.g., HPyV) and viral concentration methods influence the interpretation of fecal viral indicator detection.
36 citations
TL;DR: Recent advances in developing cross-assembly phage and pepper mild mottle virus as viral water quality indicators as well as the integration of crAssphage and PMMoV into quantitative microbial risk assessment and water quality regulation are discussed.
34 citations
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TL;DR: Comparison with the reported COVID-19 cases in Yamanashi Prefecture showed that SARS-CoV-2 RNA was detected in the secondary-treated wastewater sample when the cases peaked in the community.
425 citations
TL;DR: The first ever successful effort in India to detect the genetic material of SARS-CoV-2 viruses to understand the capability and application of wastewater-based epidemiology (WBE) surveillance in India makes a strong case for the environmental surveillance of the COVID-19 pandemic.
371 citations
TL;DR: Three RT-ddPCR assays were used to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in weekly samples from nine WWTPs in southeastern Virginia, and fluctuations in population normalized loading rates agreed with known outbreaks during the study.
351 citations
TL;DR: SARS-CoV-2 RNA was found to be significantly more persistent than infectious SARS- CooperVirus 2, indicating that the environmental detection of RNA alone does not substantiate risk of infection.
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA is frequently detected in the feces of infected individuals. While infectious SARS-CoV-2 has not previously been identified in waste...
299 citations