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Chai X, Liu S, Liu C, Bai J, Meng J, Tian H, Han X, Han G, Xu X, Li Q. Surveillance of SARS-CoV-2 in wastewater by quantitative PCR and digital PCR: a case study in Shijiazhuang city, Hebei province, China. Emerg Microbes Infect 2024; 13:2324502. [PMID: 38465692 DOI: 10.1080/22221751.2024.2324502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/22/2024] [Indexed: 03/12/2024]
Abstract
In this study, we reported the first long-term monitoring of SARS-CoV-2 in wastewater in Mainland China from November 2021 to October 2023. The city of Shijiazhuang was employed for this case study. We developed a triple reverse transcription droplet digital PCR (RT-ddPCR) method using triple primer-probes for simultaneous detection of the N1 gene, E gene, and Pepper mild mottle virus (PMMoV) to achieve accurate quantification of SARS-CoV-2 RNA in wastewater. Both the RT-ddPCR method and the commercial multiplex reverse transcription quantitative polymerase chain reaction (RT-qPCR) method were implemented for the detection of SARS-CoV-2 in wastewater in Shijiazhuang City over a 24-month period. Results showed that SARS-CoV-2 was detected for the first time in the wastewater of Shijiazhuang City on 10 November 2022. The peak of COVID-19 cases occurred in the middle of December 2022, when the concentration of SARS-CoV-2 in the wastewater was highest. The trend of virus concentration increases and decreases forming a "long-tailed" shape in the COVID-19 outbreak and recession cycle. The results indicated that both multiplex RT-ddPCR and RT-qPCR are effective in detecting SARS-CoV-2 in wastewater, but RT-ddPCR is capable of detecting low concentrations of SARS-CoV-2 in wastewater which is more efficient. The SARS-CoV-2 abundance in wastewater is correlated to clinical data, outlining the public health utility of this work.HighlightsFirst long-term monitoring of SARS-CoV-2 in wastewater in Mainland ChinaCOVID-19 outbreak was tracked in Shijiazhuang City from outbreak to containmentWastewater was monitored simultaneously using RT-ddPCR and RT-qPCR methodsTriple primer-probe RT-ddPCR detects N1 and E genes of SARS-CoV-2 and PMMoV.
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Affiliation(s)
- Xiaoru Chai
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Shiyou Liu
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Chao Liu
- Shijiazhuang Qiaodong Sewage Treatment Plant, Shijiazhuang, People's Republic of China
| | - Jiaxuan Bai
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Juntao Meng
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Hong Tian
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
| | - Xu Han
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Guangyue Han
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
| | - Xiangdong Xu
- School of Public Health, Hebei Medical University, Shijiazhuang, People's Republic of China
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, People's Republic of China
| | - Qi Li
- Hebei Key Laboratory of Pathogens and Epidemiology of Infectious Diseases, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China
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Carmo dos Santos M, Cerqueira Silva AC, dos Reis Teixeira C, Pinheiro Macedo Prazeres F, Fernandes dos Santos R, de Araújo Rolo C, de Souza Santos E, Santos da Fonseca M, Oliveira Valente C, Saraiva Hodel KV, Moraes dos Santos Fonseca L, Sampaio Dotto Fiuza B, de Freitas Bueno R, Bittencourt de Andrade J, Aparecida Souza Machado B. Wastewater surveillance for viral pathogens: A tool for public health. Heliyon 2024; 10:e33873. [PMID: 39071684 PMCID: PMC11279281 DOI: 10.1016/j.heliyon.2024.e33873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 06/03/2024] [Accepted: 06/28/2024] [Indexed: 07/30/2024] Open
Abstract
A focus on water quality has intensified globally, considering its critical role in sustaining life and ecosystems. Wastewater, reflecting societal development, profoundly impacts public health. Wastewater-based epidemiology (WBE) has emerged as a surveillance tool for detecting outbreaks early, monitoring infectious disease trends, and providing real-time insights, particularly in vulnerable communities. WBE aids in tracking pathogens, including viruses, in sewage, offering a comprehensive understanding of community health and lifestyle habits. With the rise in global COVID-19 cases, WBE has gained prominence, aiding in monitoring SARS-CoV-2 levels worldwide. Despite advancements in water treatment, poorly treated wastewater discharge remains a threat, amplifying the spread of water-, sanitation-, and hygiene (WaSH)-related diseases. WBE, serving as complementary surveillance, is pivotal for monitoring community-level viral infections. However, there is untapped potential for WBE to expand its role in public health surveillance. This review emphasizes the importance of WBE in understanding the link between viral surveillance in wastewater and public health, highlighting the need for its further integration into public health management.
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Affiliation(s)
- Matheus Carmo dos Santos
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Ana Clara Cerqueira Silva
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Carine dos Reis Teixeira
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Filipe Pinheiro Macedo Prazeres
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Rosângela Fernandes dos Santos
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Carolina de Araújo Rolo
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Emanuelle de Souza Santos
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Maísa Santos da Fonseca
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Camila Oliveira Valente
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Katharine Valéria Saraiva Hodel
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Larissa Moraes dos Santos Fonseca
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Bianca Sampaio Dotto Fiuza
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
| | - Rodrigo de Freitas Bueno
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | - Jailson Bittencourt de Andrade
- University Center SENAI CIMATEC, SENAI CIMATEC, Salvador, 41650-010, Bahia, Brazil
- Centro Interdisciplinar de Energia e Ambiente – CIEnAm, Federal University of Bahia, Salvador, 40170-115, Brazil
| | - Bruna Aparecida Souza Machado
- SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), SENAI CI-MATEC, Salvador, 41650-010, Bahia, Brazil
- University Center SENAI CIMATEC, SENAI CIMATEC, Salvador, 41650-010, Bahia, Brazil
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Toro L, de Valk H, Zanetti L, Huot C, Tarantola A, Fournet N, Moulin L, Atoui A, Gassilloud B, Mouly D, Jourdain F. Pathogen prioritisation for wastewater surveillance ahead of the Paris 2024 Olympic and Paralympic Games, France. Euro Surveill 2024; 29. [PMID: 38994605 PMCID: PMC11241851 DOI: 10.2807/1560-7917.es.2024.29.28.2400231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/13/2024] Open
Abstract
BackgroundWastewater surveillance is an effective approach to monitor population health, as exemplified by its role throughout the COVID-19 pandemic.AimThis study explores the possibility of extending wastewater surveillance to the Paris 2024 Olympic and Paralympic Games, focusing on identifying priority pathogen targets that are relevant and feasible to monitor in wastewater for these events.MethodsA list of 60 pathogens of interest for general public health surveillance for the Games was compiled. Each pathogen was evaluated against three inclusion criteria: (A) analytical feasibility; (B) relevance, i.e. with regards to the specificities of the event and the characteristics of the pathogen; and (C) added value to inform public health decision-making. Analytical feasibility was assessed through evidence from peer-reviewed publications demonstrating the detectability of pathogens in sewage, refining the initial list to 25 pathogens. Criteria B and C were evaluated via expert opinion using the Delphi method. The panel consisting of some 30 experts proposed five additional pathogens meeting criterion A, totalling 30 pathogens assessed throughout the three-round iterative questionnaire. Pathogens failing to reach 70% group consensus threshold underwent further deliberation by a subgroup of experts.ResultsSix priority targets suitable for wastewater surveillance during the Games were successfully identified: poliovirus, influenza A virus, influenza B virus, mpox virus, SARS-CoV-2 and measles virus.ConclusionThis study introduced a model framework for identifying context-specific wastewater surveillance targets for a mass gathering. Successful implementation of a wastewater surveillance plan for Paris 2024 could incentivise similar monitoring efforts for other mass gatherings globally.
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Affiliation(s)
- Laila Toro
- Santé publique France (French National Public Health Agency), Montpellier, France
| | - Henriette de Valk
- Santé publique France (French National Public Health Agency), Saint-Maurice, France
| | - Laura Zanetti
- Santé publique France (French National Public Health Agency), Saint-Maurice, France
| | - Caroline Huot
- Institut national de santé publique du Québec, Québec, Canada
| | - Arnaud Tarantola
- Santé publique France (French National Public Health Agency), Saint-Denis, France
| | - Nelly Fournet
- Santé publique France (French National Public Health Agency), Saint-Denis, France
| | | | - Ali Atoui
- ANSES Nancy Laboratory for Hydrology, Nancy, France
| | | | - Damien Mouly
- Santé publique France (French National Public Health Agency), Toulouse, France
| | - Frédéric Jourdain
- Santé publique France (French National Public Health Agency), Montpellier, France
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Subroyen S, Pillay L, Bux F, Kumari S. Evaluating storage conditions and enhancement strategies on viral biomarker recovery for WBE applications. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2024; 90:213-224. [PMID: 39007315 DOI: 10.2166/wst.2024.203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/31/2024] [Indexed: 07/16/2024]
Abstract
Wastewater-based epidemiology (WBE) is a valuable disease surveillance tool. However, little is known on how factors such as transportation, storage, and wastewater characteristics influence the accuracy of the quantification methods. Hence, this study investigated the impact of storage temperatures and physicochemical characteristics of wastewater on SARS-CoV-2 and influenza A stability using droplet digital PCR. Additionally, strategies to enhance viral recovery were explored. Municipal influent wastewater stored between ±25 and -80 °C was assessed for a period of 84 days to determine viral degradation. Degradation up to 94.1% of influenza A and SARS-CoV-2 was observed in all samples with the highest at ±25 °C. Viral degradation was correlated to the changes in wastewater physicochemical characteristics. The low degradation observed of SARS-CoV-2 in the spiked pellets were indicative of viral adhesion to wastewater solids, which correlated with changes in pH. Ultrasonication frequencies ranging from 4 to 16 kHz, increased SARS-CoV-2 concentrations in the supernatant between 3.30 and 35.65%, indicating viral RNA attachment to wastewater solids. These results highlight the importance of additional pretreatment methods for maximizing RNA recovery from wastewater samples. Based on these findings, it was deduced that wastewater preservation studies are essential, and pretreatment should be included in the WBE methodology.
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Affiliation(s)
- Sueyanka Subroyen
- Institute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa
| | - Leanne Pillay
- Institute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa
| | - Faizal Bux
- Institute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa
| | - Sheena Kumari
- Institute for Water and Wastewater Technology, Durban University of Technology, P.O. Box 1334, Durban 4000, South Africa E-mail:
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Robbins AA, Gallagher TL, Toledo DM, Hershberger KC, Salmela SM, Barney RE, Szczepiorkowski ZM, Tsongalis GJ, Martin IW, Hubbard JA, Lefferts JA. Analytical validation of a semi-automated methodology for quantitative measurement of SARS-CoV-2 RNA in wastewater collected in northern New England. Microbiol Spectr 2024; 12:e0112223. [PMID: 38747589 DOI: 10.1128/spectrum.01122-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 04/11/2024] [Indexed: 06/06/2024] Open
Abstract
Wastewater-based epidemiology (WBE) can be used to monitor the community presence of infectious disease pathogens of public health concern such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Viral nucleic acid has been detected in the stool of SARS-CoV-2-infected individuals. Asymptomatic SARS-CoV-2 infections make community monitoring difficult without extensive and continuous population screening. In this study, we validated a procedure that includes manual pre-processing, automated SARS-CoV-2 RNA extraction and detection workflows using both reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR) and reverse transcriptase droplet digital PCR (RT-ddPCR). Genomic RNA and calibration materials were used to create known concentrations of viral material to determine the linearity, accuracy, and precision of the wastewater extraction and SARS-CoV-2 RNA detection. Both RT-qPCR and RT-ddPCR perform similarly in all the validation experiments, with a limit of detection of 50 copies/mL. A wastewater sample from a care facility with a known outbreak was assessed for viral content in replicate, and we showed consistent results across both assays. Finally, in a 2-week survey of two New Hampshire cities, we assessed the suitability of our methods for daily surveillance. This paper describes the technical validation of a molecular assay that can be used for long-term monitoring of SARS-CoV-2 in wastewater as a potential tool for community surveillance to assist with public health efforts.IMPORTANCEThis paper describes the technical validation of a molecular assay that can be used for the long-term monitoring of SARS-CoV-2 in wastewater as a potential tool for community surveillance to assist with public health efforts.
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Affiliation(s)
- Ashlee A Robbins
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Torrey L Gallagher
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Diana M Toledo
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
- The Broad Institute at MIT and Harvard, Cambridge, Massachusetts, USA
| | - K Chase Hershberger
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Sabrina M Salmela
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Rachael E Barney
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Zbigniew M Szczepiorkowski
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Gregory J Tsongalis
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Isabella W Martin
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Jacqueline A Hubbard
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Joel A Lefferts
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
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Ousset MJ, Pianciola LA, Mazzeo M, Oteiza JM, Jaureguiberry MS, Venturino A, Barril PA. Improved SARS-CoV-2 RNA recovery in wastewater matrices using a CTAB-based extraction method. J Virol Methods 2024; 327:114918. [PMID: 38556176 DOI: 10.1016/j.jviromet.2024.114918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/21/2024] [Accepted: 03/23/2024] [Indexed: 04/02/2024]
Abstract
Wastewater-based epidemiology has allowed tracking the magnitude and distribution of SARS-CoV-2 in communities, allowing public health officials to prepare for impending outbreaks. While many factors influence recovery of SARS-CoV-2 from wastewater, proper extraction, concentration, and purification of RNA are key steps to ensure accurate detection of viral particles. The aim of this study was to compare the efficiency of four commonly used RNA extraction methods for detection of the SARS-CoV-2 RNA genome in sewage samples artificially inoculated with the virus, in order to identify a protocol that improves viral recovery. These methods included CTAB-based, TRIzol-based, and guanidinium thiocyanate (GTC)-based extraction procedures coupled with silica spin column-based purification, and an automated extraction/purification protocol using paramagnetic particles. Following RNA extraction, virus recovery rates were compared using RT-qPCR-based detection. The CTAB-based approach yielded the highest recovery rates and was the only method to consistently demonstrate stable virus recovery percentages regardless of the specific physicochemical characteristics of the samples tested. The TRIzol method proved to be the second most effective, yielding significantly higher recovery rates compared to both the GTC-based and the automated extraction methods. These results suggest that the CTAB-based approach could be a useful tool for the recovery of viral RNA from complex wastewater matrices.
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Affiliation(s)
- María Julia Ousset
- Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue (CITAAC), CONICET- Universidad Nacional del Comahue, Buenos Aires 1400, Neuquén 8300, Argentina.
| | - Luis Alfredo Pianciola
- Laboratorio Central "Mg. Luis Alfredo Pianciola", Ministerio de Salud de la Provincia de Neuquén, Gregorio Martinez 65, Neuquén 8300, Argentina
| | - Melina Mazzeo
- Laboratorio Central "Mg. Luis Alfredo Pianciola", Ministerio de Salud de la Provincia de Neuquén, Gregorio Martinez 65, Neuquén 8300, Argentina
| | - Juan Martín Oteiza
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Laboratorio de Microbiología de los Alimentos, Centro de Investigación y Asistencia Técnica a la Industria (CIATI), Expedicionarios del Desierto 1310, Centenario, Neuquén 8309, Argentina
| | - María Soledad Jaureguiberry
- Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue (CITAAC), CONICET- Universidad Nacional del Comahue, Buenos Aires 1400, Neuquén 8300, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Andrés Venturino
- Centro de Investigaciones en Toxicología Ambiental y Agrobiotecnología del Comahue (CITAAC), CONICET- Universidad Nacional del Comahue, Buenos Aires 1400, Neuquén 8300, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina
| | - Patricia Angélica Barril
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina; Laboratorio de Microbiología de los Alimentos, Centro de Investigación y Asistencia Técnica a la Industria (CIATI), Expedicionarios del Desierto 1310, Centenario, Neuquén 8309, Argentina
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González-Aravena M, Galbán-Malagón C, Castro-Nallar E, Barriga GP, Neira V, Krüger L, Adell AD, Olivares-Pacheco J. Detection of SARS-CoV-2 in Wastewater Associated with Scientific Stations in Antarctica and Possible Risk for Wildlife. Microorganisms 2024; 12:743. [PMID: 38674687 PMCID: PMC11051888 DOI: 10.3390/microorganisms12040743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/10/2024] [Accepted: 03/14/2024] [Indexed: 04/28/2024] Open
Abstract
Before December 2020, Antarctica had remained free of COVID-19 cases. The main concern during the pandemic was the limited health facilities available at Antarctic stations to deal with the disease as well as the potential impact of SARS-CoV-2 on Antarctic wildlife through reverse zoonosis. In December 2020, 60 cases emerged in Chilean Antarctic stations, disrupting the summer campaign with ongoing isolation needs. The SARS-CoV-2 RNA was detected in the wastewater of several scientific stations. In Antarctica, treated wastewater is discharged directly into the seawater. No studies currently address the recovery of infectious virus particles from treated wastewater, but their presence raises the risk of infecting wildlife and initiating new replication cycles. This study highlights the initial virus detection in wastewater from Antarctic stations, identifying viral RNA via RT-qPCR targeting various genomic regions. The virus's RNA was found in effluent from two wastewater plants at Maxwell Bay and O'Higgins Station on King George Island and the Antarctic Peninsula, respectively. This study explores the potential for the reverse zoonotic transmission of SARS-CoV-2 from humans to Antarctic wildlife due to the direct release of viral particles into seawater. The implications of such transmission underscore the need for continued vigilance and research.
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Affiliation(s)
| | - Cristóbal Galbán-Malagón
- GEMA, Center for Genomics, Ecology & Environment, Universidad Mayor, Santiago 8580745, Chile;
- Anillo en Ciencia y Tecnología Antártica POLARIX, Santiago 8370146, Chile;
- Institute for Environment, Florida International University, Miami, FL 33199, USA
| | - Eduardo Castro-Nallar
- Anillo en Ciencia y Tecnología Antártica POLARIX, Santiago 8370146, Chile;
- Departamento de Microbiología, Facultad de Ciencias de la Salud, Universidad de Talca, Campus Talca, Talca 3481118, Chile
- Centro de Ecología Integrativa, Universidad de Talca, Campus Talca, Talca 3460000, Chile
| | - Gonzalo P. Barriga
- Laboratorio de Virus Emergentes, Programa de Virología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
| | - Víctor Neira
- Medicina Preventiva Animal, Facultad de Ciencias Veterinarias, Universidad de Chile, Santiago 8820808, Chile;
| | - Lucas Krüger
- Departamento Científico, Instituto Antártico Chileno, Punta Arenas 6200985, Chile;
- Millennium Institute Biodiversity of Antarctic and Subantarctic Ecosystems (BASE), Santiago 7750000, Chile
| | - Aiko D. Adell
- Escuela de Medicina Veterinaria, Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago 9350841, Chile;
- Millennium Initiative for Collaborative Research on Bacterial Resistance, MICROB-R, Santiago 7550000, Chile
| | - Jorge Olivares-Pacheco
- Millennium Initiative for Collaborative Research on Bacterial Resistance, MICROB-R, Santiago 7550000, Chile
- Grupo de Resistencia Antimicrobiana en Bacterias Patógenas y Ambientales, GRABPA, Instituto de Biología, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
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8
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Li Y, Ash K, Alamilla I, Joyner D, Williams DE, McKay PJ, Green B, DeBlander S, North C, Kara-Murdoch F, Swift C, Hazen TC. COVID-19 trends at the University of Tennessee: predictive insights from raw sewage SARS-CoV-2 detection and evaluation and PMMoV as an indicator for human waste. Front Microbiol 2024; 15:1379194. [PMID: 38605711 PMCID: PMC11007199 DOI: 10.3389/fmicb.2024.1379194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 03/19/2024] [Indexed: 04/13/2024] Open
Abstract
Wastewater-based epidemiology (WBE) has become a valuable tool for monitoring the prevalence of SARS-CoV-2 on university campuses. However, concerns about effectiveness of raw sewage as a COVID-19 early warning system still exist, and it's not clear how useful normalization by simultaneous comparison of Pepper Mild Mottle Virus (PMMoV) is in addressing variations resulting from fecal discharge dilution. This study aims to contribute insights into these aspects by conducting an academic-year field trial at the student residences on the University of Tennessee, Knoxville campus, raw sewage. This was done to investigate the correlations between SARS-CoV-2 RNA load, both with and without PMMoV normalization, and various parameters, including active COVID-19 cases, self-isolations, and their combination among all student residents. Significant positive correlations between SARS-CoV-2 RNA load a week prior, during the monitoring week, and the subsequent week with active cases. Despite these correlations, normalization by PMMoV does not enhance these associations. These findings suggest the potential utility of SARS-CoV-2 RNA load as an early warning indicator and provide valuable insights into the application and limitations of WBE for COVID-19 surveillance specifically within the context of raw sewage on university campuses.
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Affiliation(s)
- Ye Li
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
| | - Kurt Ash
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | | | - Dominique Joyner
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
| | - Daniel Edward Williams
- Center for Environmental Biotechnology, University of Tennessee, Knoxville, TN, United States
| | - Peter J. McKay
- Battelle Memorial Institute, Columbus, OH, United States
| | - Brianna Green
- Department of Microbiology, University of Tennessee, Knoxville, TN, United States
| | - Sydney DeBlander
- College of Natural Science, Michigan State University, East Lansing, MI, United States
| | - Carman North
- Student Health Center, University of Tennessee, Knoxville, TN, United States
| | - Fadime Kara-Murdoch
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
- Battelle Memorial Institute, Columbus, OH, United States
- Center for Environmental Biotechnology, University of Tennessee, Knoxville, TN, United States
| | - Cynthia Swift
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
- Center for Environmental Biotechnology, University of Tennessee, Knoxville, TN, United States
| | - Terry C. Hazen
- Department of Civil and Environmental Sciences, University of Tennessee, Knoxville, TN, United States
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
- Department of Microbiology, University of Tennessee, Knoxville, TN, United States
- Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN, United States
- Institute for a Secure and Sustainable Environment, University of Tennessee, Knoxville, TN, United States
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9
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Ahuja S, Tallur S, Kondabagil K. Simultaneous microbial capture and nucleic acid extraction from wastewater with minimal pre-processing and high recovery efficiency. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 918:170347. [PMID: 38336063 DOI: 10.1016/j.scitotenv.2024.170347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/22/2023] [Accepted: 01/19/2024] [Indexed: 02/12/2024]
Abstract
The COVID-19 pandemic accelerated research towards developing low-cost assays for automated urban wastewater monitoring assay that can be integrated into an environmental surveillance system for early warning of frequent disease outbreaks and future pandemics. Microbial concentration is one of the most challenging steps in wastewater surveillance, due to the sample heterogeneity and low pathogen load. Keeping in mind the requirements of large-scale testing in densely populated low- or middle-income countries (LMICs), such assays would need to be low-cost and have rapid turnaround time with high recovery efficiency. In this study, two such methods are presented and evaluated against commercially available kits for pathogen detection in wastewater. The first method utilizes paper dipsticks while the second method comprises of a PTFE membrane filter (PMF) integrated with a peristaltic pump. Both methods were used to concentrate and isolate nucleic acids from different microbes such as SARS-CoV-2, pepper mild mottle virus (PMMoV), bacteriophage Phi6, and E. coli from wastewater samples with minimal or no sample pre-processing. While the paper dipstick method is suitable for sub-milliliter sample volume, the PMF method can be used with larger volumes of wastewater sample (40 mL) and can detect multiple microbes with recovery efficiency comparable to commercially available kits.
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Affiliation(s)
- Shruti Ahuja
- Centre for Research in Nanotechnology & Science (CRNTS), IIT Bombay, Powai, Mumbai 400076, Maharashtra, India.
| | - Siddharth Tallur
- Department of Electrical Engineering, IIT Bombay, Powai, Mumbai 400076, Maharashtra, India.
| | - Kiran Kondabagil
- Department of Biosciences and Bioengineering, IIT Bombay, Powai, Mumbai 400076, Maharashtra, India.
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10
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Chen C, Kaur G, Adiga A, Espinoza B, Venkatramanan S, Warren A, Lewis B, Crow J, Singh R, Lorentz A, Toney D, Marathe M. Wastewater-based Epidemiology for COVID-19 Surveillance: A Survey. ARXIV 2024:arXiv:2403.15291v1. [PMID: 38562450 PMCID: PMC10984000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively track the prevalence of COVID-19 within communities. The traditional way to estimate the disease prevalence is to estimate from reported clinical test data or surveys. However, the coverage of clinical tests is often limited and the tests can be labor-intensive, requires reliable and timely results, and consistent diagnostic and reporting criteria. Recent studies revealed that patients who are diagnosed with COVID-19 often undergo fecal shedding of SARS-CoV-2 virus into wastewater, which makes wastewater-based epidemiology (WBE) for COVID-19 surveillance a promising approach to complement traditional clinical testing. In this paper, we survey the existing literature regarding WBE for COVID-19 surveillance and summarize the current advances in the area. Specifically, we have covered the key aspects of wastewater sampling, sample testing, and presented a comprehensive and organized summary of wastewater data analytical methods. Finally, we provide the open challenges on current wastewater-based COVID-19 surveillance studies, aiming to encourage new ideas to advance the development of effective wastewater-based surveillance systems for general infectious diseases.
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Affiliation(s)
- Chen Chen
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Gursharn Kaur
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Aniruddha Adiga
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Baltazar Espinoza
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Srinivasan Venkatramanan
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Andrew Warren
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Bryan Lewis
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
| | - Justin Crow
- Virginia Department of Health, Richmond, 23219, United States
| | - Rekha Singh
- Virginia Department of Health, Richmond, 23219, United States
| | - Alexandra Lorentz
- Division of Consolidated Laboratory Services, Department of General Services, Richmond, 23219, United States
| | - Denise Toney
- Division of Consolidated Laboratory Services, Department of General Services, Richmond, 23219, United States
| | - Madhav Marathe
- Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, 22904, United States
- Department of Computer Science, University of Virginia, Charlottesville, 22904, United States
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11
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Patiño LH, Ballesteros N, Muñoz M, Ramírez AL, Castañeda S, Galeano LA, Hidalgo A, Paniz-Mondolfi A, Ramírez JD. Global and genetic diversity of SARS-CoV-2 in wastewater. Heliyon 2024; 10:e27452. [PMID: 38463823 PMCID: PMC10923837 DOI: 10.1016/j.heliyon.2024.e27452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/03/2024] [Accepted: 02/28/2024] [Indexed: 03/12/2024] Open
Abstract
The analysis of SARS-CoV-2 in wastewater has enabled us to better understand the spread and evolution of the virus worldwide. To deepen our understanding of its epidemiological and genomic characteristics, we analyzed 10,147 SARS-CoV-2 sequences from 5 continents and 21 countries that were deposited in the GISAID database up until January 31, 2023. Our results revealed over 100 independent lineages of the virus circulating in water samples from March 2020 to January 2023, including variants of interest and concern. We observed four clearly defined periods of global distribution of these variants over time, with one variant being replaced by another. Interestingly, we found that SARS-CoV-2 water-borne sequences from different countries had a close phylogenetic relationship. Additionally, 40 SARS-CoV-2 water-borne sequences from Europe and the USA did not show any phylogenetic relationship with SARS-CoV-2 human sequences. We also identified a significant number of non-synonymous mutations, some of which were detected in previously reported cryptic lineages. Among the countries analyzed, France and the USA showed the highest degree of sequence diversity, while Austria reported the highest number of genomes (6,296). Our study provides valuable information about the epidemiological and genomic diversity of SARS-CoV-2 in wastewater, which can be employed to support public health initiatives and preparedness.
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Affiliation(s)
- Luz Helena Patiño
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Nathalia Ballesteros
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Marina Muñoz
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Angie Lorena Ramírez
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Sergio Castañeda
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Luis Alejandro Galeano
- Grupo de Investigación en Materiales Funcionales y Catálisis (GIMFC), Departamento de Química, Universidad de Nariño, Pasto, 52002, Colombia
| | - Arsenio Hidalgo
- Grupo de Investigación en Salud Pública, Departamento de Matemáticas, Universidad de Nariño, Pasto, 50002, Colombia
| | - Alberto Paniz-Mondolfi
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
| | - Juan David Ramírez
- Centro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, 111321, Colombia
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12
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Parkins MD, Lee BE, Acosta N, Bautista M, Hubert CRJ, Hrudey SE, Frankowski K, Pang XL. Wastewater-based surveillance as a tool for public health action: SARS-CoV-2 and beyond. Clin Microbiol Rev 2024; 37:e0010322. [PMID: 38095438 PMCID: PMC10938902 DOI: 10.1128/cmr.00103-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2024] Open
Abstract
Wastewater-based surveillance (WBS) has undergone dramatic advancement in the context of the coronavirus disease 2019 (COVID-19) pandemic. The power and potential of this platform technology were rapidly realized when it became evident that not only did WBS-measured SARS-CoV-2 RNA correlate strongly with COVID-19 clinical disease within monitored populations but also, in fact, it functioned as a leading indicator. Teams from across the globe rapidly innovated novel approaches by which wastewater could be collected from diverse sewersheds ranging from wastewater treatment plants (enabling community-level surveillance) to more granular locations including individual neighborhoods and high-risk buildings such as long-term care facilities (LTCF). Efficient processes enabled SARS-CoV-2 RNA extraction and concentration from the highly dilute wastewater matrix. Molecular and genomic tools to identify, quantify, and characterize SARS-CoV-2 and its various variants were adapted from clinical programs and applied to these mixed environmental systems. Novel data-sharing tools allowed this information to be mobilized and made immediately available to public health and government decision-makers and even the public, enabling evidence-informed decision-making based on local disease dynamics. WBS has since been recognized as a tool of transformative potential, providing near-real-time cost-effective, objective, comprehensive, and inclusive data on the changing prevalence of measured analytes across space and time in populations. However, as a consequence of rapid innovation from hundreds of teams simultaneously, tremendous heterogeneity currently exists in the SARS-CoV-2 WBS literature. This manuscript provides a state-of-the-art review of WBS as established with SARS-CoV-2 and details the current work underway expanding its scope to other infectious disease targets.
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Affiliation(s)
- Michael D. Parkins
- Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute of Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Bonita E. Lee
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Nicole Acosta
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Maria Bautista
- Department of Biological Sciences, Faculty of Science, University of Calgary, Calgary, Alberta, Canada
| | - Casey R. J. Hubert
- Department of Biological Sciences, Faculty of Science, University of Calgary, Calgary, Alberta, Canada
| | - Steve E. Hrudey
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Kevin Frankowski
- Advancing Canadian Water Assets, University of Calgary, Calgary, Alberta, Canada
| | - Xiao-Li Pang
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
- Provincial Health Laboratory, Alberta Health Services, Calgary, Alberta, Canada
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13
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Cohen A, Vikesland P, Pruden A, Krometis LA, Lee LM, Darling A, Yancey M, Helmick M, Singh R, Gonzalez R, Meit M, Degen M, Taniuchi M. Making waves: The benefits and challenges of responsibly implementing wastewater-based surveillance for rural communities. WATER RESEARCH 2024; 250:121095. [PMID: 38181645 DOI: 10.1016/j.watres.2023.121095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 12/08/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024]
Abstract
The sampling and analysis of sewage for pathogens and other biomarkers offers a powerful tool for monitoring and understanding community health trends and potentially predicting disease outbreaks. Since the early months of the COVID-19 pandemic, the use of wastewater-based testing for public health surveillance has increased markedly. However, these efforts have focused on urban and peri‑urban areas. In most rural regions of the world, healthcare service access is more limited than in urban areas, and rural public health agencies typically have less disease outcome surveillance data than their urban counterparts. The potential public health benefits of wastewater-based surveillance for rural communities are therefore substantial - though so too are the methodological and ethical challenges. For many rural communities, population dynamics and insufficient, aging, and inadequately maintained wastewater collection and treatment infrastructure present obstacles to the reliable and responsible implementation of wastewater-based surveillance. Practitioner observations and research findings indicate that for many rural systems, typical implementation approaches for wastewater-based surveillance will not yield sufficiently reliable or actionable results. We discuss key challenges and potential strategies to address them. However, to support and expand the implementation of responsible, reliable, and ethical wastewater-based surveillance for rural communities, best practice guidelines and standards are needed.
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Affiliation(s)
- Alasdair Cohen
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
| | - Peter Vikesland
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Amy Pruden
- Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Leigh-Anne Krometis
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Lisa M Lee
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Division of Scholarly Integrity and Research Compliance, Virginia Tech, Blacksburg, VA 24061, USA
| | - Amanda Darling
- Department of Population Health Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA
| | - Michelle Yancey
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA
| | - Meagan Helmick
- Virginia Department of Health, Mount Rogers Health District, Marion, VA 24354, USA
| | - Rekha Singh
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA; Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA 23529, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, Virginia Beach, VA 23455, USA
| | - Michael Meit
- Center for Rural Health Research, East Tennessee State University, Johnson City, TN 37614, USA
| | - Marcia Degen
- Virginia Department of Health, Office of Environmental Health Services, Richmond, VA 23219, USA
| | - Mami Taniuchi
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, VA 22908, USA; Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA
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14
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Clark EC, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health Surveill 2024; 10:e49185. [PMID: 38241067 PMCID: PMC10837764 DOI: 10.2196/49185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/06/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Public health surveillance plays a vital role in informing public health decision-making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in public health priorities. Global efforts focused on COVID-19 monitoring and contact tracing. Existing public health programs were interrupted due to physical distancing measures and reallocation of resources. The onset of the COVID-19 pandemic intersected with advancements in technologies that have the potential to support public health surveillance efforts. OBJECTIVE This scoping review aims to explore emergent public health surveillance methods during the early COVID-19 pandemic to characterize the impact of the pandemic on surveillance methods. METHODS A scoping search was conducted in multiple databases and by scanning key government and public health organization websites from March 2020 to January 2022. Published papers and gray literature that described the application of new or revised approaches to public health surveillance were included. Papers that discussed the implications of novel public health surveillance approaches from ethical, legal, security, and equity perspectives were also included. The surveillance subject, method, location, and setting were extracted from each paper to identify trends in surveillance practices. Two public health epidemiologists were invited to provide their perspectives as peer reviewers. RESULTS Of the 14,238 unique papers, a total of 241 papers describing novel surveillance methods and changes to surveillance methods are included. Eighty papers were review papers and 161 were single studies. Overall, the literature heavily featured papers detailing surveillance of COVID-19 transmission (n=187). Surveillance of other infectious diseases was also described, including other pathogens (n=12). Other public health topics included vaccines (n=9), mental health (n=11), substance use (n=4), healthy nutrition (n=1), maternal and child health (n=3), antimicrobial resistance (n=2), and misinformation (n=6). The literature was dominated by applications of digital surveillance, for example, by using big data through mobility tracking and infodemiology (n=163). Wastewater surveillance was also heavily represented (n=48). Other papers described adaptations to programs or methods that existed prior to the COVID-19 pandemic (n=9). The scoping search also found 109 papers that discuss the ethical, legal, security, and equity implications of emerging surveillance methods. The peer reviewer public health epidemiologists noted that additional changes likely exist, beyond what has been reported and available for evidence syntheses. CONCLUSIONS The COVID-19 pandemic accelerated advancements in surveillance and the adoption of new technologies, especially for digital and wastewater surveillance methods. Given the investments in these systems, further applications for public health surveillance are likely. The literature for surveillance methods was dominated by surveillance of infectious diseases, particularly COVID-19. A substantial amount of literature on the ethical, legal, security, and equity implications of these emerging surveillance methods also points to a need for cautious consideration of potential harm.
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Affiliation(s)
- Emily C Clark
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Sophie Neumann
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Stephanie Hopkins
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Alyssa Kostopoulos
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Leah Hagerman
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Maureen Dobbins
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
- School of Nursing, McMaster University, Hamilton, ON, Canada
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15
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Mogili NV, Mallu MR, Kodavaty J, Erva RR. Surveillance of SARS-CoV-2 RNA in wastewater matrix: a review. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:67. [PMID: 38117369 DOI: 10.1007/s10661-023-12178-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/22/2023] [Indexed: 12/21/2023]
Abstract
SARS-CoV-2 is the agent responsible for the global pandemic sickness, COVID-19. It is an enveloped virus that belongs to the family Coronaviridae. Recent studies have revealed the fecal shedding of the virus and have been found to enter wastewater and aquatic systems. Prolonged viral presence in fecal samples is a common observation in the reported literature. Survival of the virus in the recipient environment could be a crucial factor that influences its fecal-oral transmission. The detection of a novel coronavirus in wastewater opportunity has potential for environmental surveillance at the community or population level. Such a surveillance system can enable the early detection of disease outbreaks in zones with pre-symptomatic/asymptomatic patients and act as a complementary tool for continuous monitoring of quarantine zones. In contrast to developed regions, resource constraints in underdeveloped communities coupled with different sanitation settings may pose a challenge to wastewater sampling and surveillance. To begin, this review summarizes the literature on the presence of SARS-CoV-2 in feces. The approaches for viral extraction, concentration, and detection in wastewater matrices are then highlighted. Finally, investigations on wastewater-based epidemiology for SARS-CoV-2 surveillance are reviewed.
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Affiliation(s)
- Nitish Venkateswarlu Mogili
- Department of Biotechnology, National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh, India
| | - Maheswara Reddy Mallu
- Department of Biotechnology, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India
| | - Jagadeeshwar Kodavaty
- Department of Chemical Engineering, University of Petroleum & Energy studies, Via Prem Nagar, Bidholi, Dehradun, India
| | - Rajeswara Reddy Erva
- Department of Biotechnology, National Institute of Technology Andhra Pradesh, Tadepalligudem, Andhra Pradesh, India.
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16
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Xue B, Guo X, Cao J, Yang S, Qiu Z, Wang J, Shen Z. The occurrence, ecological risk, and control of disinfection by-products from intensified wastewater disinfection during the COVID-19 pandemic. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165602. [PMID: 37478942 DOI: 10.1016/j.scitotenv.2023.165602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 07/13/2023] [Accepted: 07/15/2023] [Indexed: 07/23/2023]
Abstract
Increased disinfection of wastewater to preserve its microbiological quality during the coronavirus infectious disease-2019 (COVID-19) pandemic have inevitably led to increased production of toxic disinfection by-products (DBPs). However, there is limited information on such DBPs (i.e., trihalomethanes, haloacetic acids, nitrosamines, and haloacetonitriles). This review focused on the upsurge of chlorine-based disinfectants (such as chlorine, chloramine and chlorine dioxide) in wastewater treatment plants (WWTPs) in the global response to COVID-19. The formation and distribution of DBPs in wastewater were then analyzed to understand the impacts of these large-scale usage of disinfectants in WWTPs. In addition, potential ecological risks associated with DBPs derived from wastewater disinfection and its receiving water bodies were summarized. Finally, various approaches for mitigating DBP levels in wastewater and suggestions for further research into the environmental risks of increased wastewater disinfection were provided. Overall, this study presented a comprehensive overview of the formation, distribution, potential ecological risks, and mitigating approaches of DBPs derived from wastewater disinfection that will facilitate appropriate wastewater disinfection techniques selection, potential ecological risk assessment, and removal approaches and regulations consideration.
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Affiliation(s)
- Bin Xue
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China
| | - Xuan Guo
- State Key Laboratory of NBC Protection for Civilian, Research Institute of Chemical Defense, Academy of Military Science, Beijing 102205, China
| | - Jinrui Cao
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China
| | - Shuran Yang
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China
| | - Zhigang Qiu
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China
| | - Jingfeng Wang
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China.
| | - Zhiqiang Shen
- Tianjin Institute of Environmental and Operational Medicine, Key Laboratory of Risk Assessment and Control for Environment and Food Safety, Tianjin, 300050, China.
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17
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Clarke RD, Garba NA, Barbieri MA, Acuna L, Baum M, Rodriguez MS, Frias H, Saldarriaga P, Stefano T, Mathee K, Narasimhan G, R Brown D. Detection of SARS-CoV-2 in high-efficiency particulate air (HEPA) filters of low-cost air purifiers in community-based organizations. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:1320. [PMID: 37837468 PMCID: PMC10576720 DOI: 10.1007/s10661-023-11950-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/05/2023] [Indexed: 10/16/2023]
Abstract
This study aims to investigate the presence of SARS-CoV-2 in public spaces and assess the utility of inexpensive air purifiers equipped with high-efficiency particulate air (HEPA) filters for viral detection. Samples were collected from six community-based organizations in underserved minority neighborhoods in Northwest Miami, Florida, from February to May 2022. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect SARS-CoV-2 in air purifier filters and surface swabs. Among 32 filters tested, three yielded positive results, while no positive surface swabs were found. Notably, positive samples were obtained exclusively from child daycare centers. These findings highlight the potential for airborne transmission of SARS-CoV-2 in indoor air, particularly in child daycare centers. Moreover, the study demonstrates the effectiveness of readily available HEPA filters in detecting the virus. Improving indoor ventilation and implementing air filtration systems are crucial in reducing COVID-19 transmission where people gather. Air filtration systems incorporating HEPA filters offer a valuable approach to virus detection and reducing transmission risks. Future research should explore the applicability of this technology for early identification and mitigation of viral outbreaks.
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Affiliation(s)
- Rachel D Clarke
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Nana Aisha Garba
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Manuel A Barbieri
- Department of Biological Sciences, Florida International University, Miami, FL, USA
| | - Leonardo Acuna
- Biochemistry PhD Program, Florida International University, Miami, FL, USA
| | - Marianna Baum
- Department of Dietetics and Nutrition, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Maribel Saad Rodriguez
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Hansel Frias
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Paulina Saldarriaga
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Troy Stefano
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Kalai Mathee
- Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
- Biomolecular Sciences Institute, Florida International University, Miami, FL, USA
| | - Giri Narasimhan
- Biomolecular Sciences Institute, Florida International University, Miami, FL, USA
- Bioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Miami, FL, USA
| | - David R Brown
- Department of Humanities Health, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
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18
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Chang WCW, Hsu MC, Liao PC. Detection of emerging patterns of drug misuse in sports via wastewater monitoring: A mini-review and potential strategies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:122087. [PMID: 37348696 DOI: 10.1016/j.envpol.2023.122087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/16/2023] [Accepted: 06/19/2023] [Indexed: 06/24/2023]
Abstract
Biological testing is a key component of the current anti-doping programme implemented by the authorities to detect doping in sports. Strategies such as longitudinal individualised data analysis and sport-specific analysis have been developed to increase the comprehensiveness of the testing. However, the trends of drug misuse in sports might not be effectively captured through today's testing plan. Wastewater testing, assembling individual-level data of a designated group to produce population-level results in one single aggregated sample, can be employed to as a complementary strategy offering added value for doping control. This paper presents an updated summary of the status of anti-doping testing and analytical methodologies for wastewater. The available literature on wastewater-based analyses of drugs prohibited in sports is reviewed. Publications surrounding sporting activities or competitions and others relevant to sports doping are selected. We debate between potential strategies and major limitations of using wastewater monitoring in anti-doping. Knowledge gaps and research directions, specifically on metabolites, stability, sensitivity, and ethical and legal considerations, are discussed. Choosing different wastewater sampling sites allows target sub-population that involved competing athletes and potentially reveal sport-specific or athlete-level-specific behaviour. Sampling from on-board toilets or athlete villages could target international-level athletes, sampling from the dormitories of national training centres allows monitoring of national-level athletes on a daily basis, and sampling from sports stadiums provides a full picture of drug use in the general population during an event. Confounding occurs as (i) the presence of non-athlete composition and the difficulty of analyses to be completely selective to the athlete population; and (ii) the identification of compounds prescribed legitimately with Therapeutic Use Exemptions, only banned in-competition, and naturally occurring. The practicalities of the approach are contextualised in monitoring the non-threshold substances such as anabolic agents, selective androgen receptor modulators, metabolic modulators, and hypoxia-inducible factor activators.
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Affiliation(s)
- William Chih-Wei Chang
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, 807, Taiwan; College of Pharmacy, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
| | - Mei-Chich Hsu
- Department of Sports Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, 807, Taiwan.
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan, 704, Taiwan.
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19
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Rusková M, Bučková M, Puškárová A, Cíchová M, Janská V, Achs A, Šubr Z, Kuchta T, Pangallo D. Comparison of ordinary reverse transcription real-time polymerase chain reaction (qRT-PCR) with a newly developed one-step single-tube nested real-time RT-PCR (OSN-qRT-PCR) for sensitive detection of SARS-CoV-2 in wastewater. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:95579-95589. [PMID: 37553492 PMCID: PMC10482794 DOI: 10.1007/s11356-023-29123-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 07/29/2023] [Indexed: 08/10/2023]
Abstract
Wastewater monitoring has proven to be an important approach to detecting and controlling the development of the SARS-CoV-2 pandemic. Various tests based on reverse transcription real-time PCR (qRT-PCR) have been developed and used for the detection of SARS-CoV-2 in wastewater samples. In this study, we attempted to increase the sensitivity of qRT-PCR by developing a one-step single-tube nested qRT-PCR assay (OSN-qRT-PCR). Two variants were developed, oriented to nucleocapsid phosphoprotein gene (N) and to spike protein gene (S), respectively. The performance of conventional qRT-PCR assays oriented to these genes with two novel OSN-qRT-PCR assays were firstly optimized using wastewater artificially contaminated with two encapsidated RNA mimic systems harboring a portion either N or S gene (ENRM and ESRM, respectively). The assays were coupled to a polyethylene glycol-based RNA precipitation/extraction method and applied to detect SARS-CoV-2 in wastewater samples from four cities in Slovakia. Both novel OSN-qRT-PCR assays demonstrated higher detection rates than the ordinary qRT-PCR counterparts. The virus levels in the analyzed wastewater samples had a high or very high relation with the numbers of clinical cases in the monitored regions. In fact, correlation with a 3-, 4-, or 5-day temporal offset was revealed. The OSN-qRT-PCR assays demonstrated robustness, mainly in samples with low viral loads.
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Affiliation(s)
- Magdaléna Rusková
- Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská Cesta 21, 845 51, Bratislava, Slovakia
| | - Mária Bučková
- Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská Cesta 21, 845 51, Bratislava, Slovakia
| | - Andrea Puškárová
- Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská Cesta 21, 845 51, Bratislava, Slovakia
| | - Marianna Cíchová
- Water Research Institute, Nábrežie Arm. Gen. L. Svobodu 5, 812 49, Bratislava, Slovakia
| | - Veronika Janská
- Water Research Institute, Nábrežie Arm. Gen. L. Svobodu 5, 812 49, Bratislava, Slovakia
| | - Adam Achs
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Virology, Dúbravská Cesta 9, 845 05, Bratislava, Slovakia
| | - Zdeno Šubr
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Virology, Dúbravská Cesta 9, 845 05, Bratislava, Slovakia
| | - Tomáš Kuchta
- Department of Microbiology, Molecular Biology and Biotechnology, Food Research Institute, National Agricultural and Food Centre, Priemyselná 4, 824 75, Bratislava, Slovakia
| | - Domenico Pangallo
- Institute of Molecular Biology, Slovak Academy of Sciences, Dúbravská Cesta 21, 845 51, Bratislava, Slovakia.
- Caravella, s.r.o., Tupolevova 2, 851 01, Bratislava, Slovakia.
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20
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Ibrahim C, Hammami S, Khelifi N, Hassen A. Detection of Enteroviruses and SARS-CoV-2 in Tunisian Wastewater. FOOD AND ENVIRONMENTAL VIROLOGY 2023; 15:224-235. [PMID: 37140767 PMCID: PMC10157586 DOI: 10.1007/s12560-023-09557-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 04/12/2023] [Indexed: 05/05/2023]
Abstract
Monitoring the circulation of enteric viruses in environmental wastewater is a valuable tool for preventing the emergence of waterborne and food-borne diseases in humans. The detection of viruses was performed in five Tunisian wastewater treatment plants, three located in the Grand Tunis City (WWTP 1, WWTP 2, WWTP 3) and two in the Sahel of Tunisia (WWTP 4, WWTP 4), known as very developed and crowded zones, to assess the effectiveness of three biological wastewater treatment procedures namely natural oxidizing lagoons, rotating biodisks procedure, activated sludge procedure, and one tertiary sewage treatment using UV-C254 reactor for this enteric viruses' removal. Thus, 242 sewage samples were collected between June 2019 and May 2020 from different lines of wastewater treatment procedures implemented in the five wastewater treatment plants investigated. SARS-CoV-2 was analyzed using real-time multiplex reverse-transcription polymerase chain reaction (multiplex real-time RT-PCR) and enteroviruses using reverse-transcription polymerase chain reaction (RT-PCR). The enteroviruses detection showed 93% and 73% respective high frequencies only in the two WWTPs of the Grand Tunis (WWTP 1 and WWTP 2). SARS-CoV-2 was detected in 58% of the all wastewater samples collected from the five studied WWTPs with a respective dominance of N gene (47%), S gene (42%), RdRp gene (42%) and at last E gene (20%). These enteroviruses and SARS-CoV-2 detection were revealed in all steps of the wastewater treatment procedures, so poor virological quality is found at the exit of each biological and tertiary step of treatment investigated. For the first time in Tunisia, these results highlighted the enterovirus and SARS-CoV-2 detection with high rates, and the ineffectiveness of the biological and UV-C254 treatment implemented to remove these viruses. The preliminary results of SARS-CoV-2 circulation in Tunisian wastewater confirmed the wide positivity rate underlined by other works worldwide and allowed showing a move towards integrating wastewater as a way for this virus to spread in different areas and environments. So, this last result about SARS-CoV-2 circulation allowed us to caution about the strong probability of diffusion of this hazardous virus through water and sewage; despite its enveloped character and nature, as a labile and sensitive virus in these environments. Thus, establishing a national surveillance strategy is needed to improve the sanitary quality of treated wastewater and prevent public health problems related to these viruses in treated wastewater.
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Affiliation(s)
- Chourouk Ibrahim
- Center of Research and Water Technologies (CERTE), Laboratory of Treatment and Valorization of Water Rejects (LTVRH), Techno Park of Borj-Cédria, 8020 Tunis, Tunisia
- Faculty of Mathematical, Physical and Natural Sciences of Tunis, University of Tunis El Manar, 2092 Tunis, Tunisia
- Microbiology Laboratory, Beja University Hospital, Beja, Tunisia
| | - Salah Hammami
- National School of Veterinary Medicine at Sidi Thabet, IRESA, University of Manouba, 2020 Tunis, Tunisia
| | - Nesserine Khelifi
- Center of Research and Water Technologies (CERTE), Laboratory of Treatment and Valorization of Water Rejects (LTVRH), Techno Park of Borj-Cédria, 8020 Tunis, Tunisia
| | - Abdennaceur Hassen
- Center of Research and Water Technologies (CERTE), Laboratory of Treatment and Valorization of Water Rejects (LTVRH), Techno Park of Borj-Cédria, 8020 Tunis, Tunisia
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21
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Fuzzen M, Harper NBJ, Dhiyebi HA, Srikanthan N, Hayat S, Bragg LM, Peterson SW, Yang I, Sun JX, Edwards EA, Giesy JP, Mangat CS, Graber TE, Delatolla R, Servos MR. An improved method for determining frequency of multiple variants of SARS-CoV-2 in wastewater using qPCR assays. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163292. [PMID: 37030387 PMCID: PMC10079313 DOI: 10.1016/j.scitotenv.2023.163292] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/17/2023] [Accepted: 03/31/2023] [Indexed: 06/01/2023]
Abstract
Wastewater-based surveillance has become an effective tool around the globe for indirect monitoring of COVID-19 in communities. Variants of Concern (VOCs) have been detected in wastewater by use of reverse transcription polymerase chain reaction (RT-PCR) or whole genome sequencing (WGS). Rapid, reliable RT-PCR assays continue to be needed to determine the relative frequencies of VOCs and sub-lineages in wastewater-based surveillance programs. The presence of multiple mutations in a single region of the N-gene allowed for the design of a single amplicon, multiple probe assay, that can distinguish among several VOCs in wastewater RNA extracts. This approach which multiplexes probes designed to target mutations associated with specific VOC's along with an intra-amplicon universal probe (non-mutated region) was validated in singleplex and multiplex. The prevalence of each mutation (i.e. VOC) is estimated by comparing the abundance of the targeted mutation with a non-mutated and highly conserved region within the same amplicon. This is advantageous for the accurate and rapid estimation of variant frequencies in wastewater. The N200 assay was applied to monitor frequencies of VOCs in wastewater extracts from several communities in Ontario, Canada in near real time from November 28, 2021 to January 4, 2022. This includes the period of the rapid replacement of the Delta variant with the introduction of the Omicron variant in these Ontario communities in early December 2021. The frequency estimates using this assay were highly reflective of clinical WGS estimates for the same communities. This style of qPCR assay, which simultaneously measures signal from a non-mutated comparator probe and multiple mutation-specific probes contained within a single qPCR amplicon, can be applied to future assay development for rapid and accurate estimations of variant frequencies.
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Affiliation(s)
- Meghan Fuzzen
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
| | | | - Hadi A Dhiyebi
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Nivetha Srikanthan
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Samina Hayat
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Leslie M Bragg
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Shelley W Peterson
- One-Health Division, Wastewater Surveillance Unit, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3E 3M4, Canada
| | - Ivy Yang
- Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada
| | - J X Sun
- Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada
| | - Elizabeth A Edwards
- Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON M5S 3E5, Canada
| | - John P Giesy
- Department of Veterinary Biomedical Sciences and Toxicology Centre, University of Saskatchewan, Saskatoon, SK S7N 5B3, Canada; Department of Environmental Sciences, Baylor University, Waco, TX, USA; Department of Zoology and Center for Integrative Toxicology, Michigan State University, East Lansing, MI, USA
| | - Chand S Mangat
- One-Health Division, Wastewater Surveillance Unit, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB R3E 3M4, Canada
| | - Tyson E Graber
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario K1H 8L1, Canada
| | - Robert Delatolla
- Department of Civil Engineering, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada
| | - Mark R Servos
- Department of Biology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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22
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Kallem P, Hegab H, Alsafar H, Hasan SW, Banat F. SARS-CoV-2 detection and inactivation in water and wastewater: Review on analytical methods, limitations and future research recommendations. Emerg Microbes Infect 2023:2222850. [PMID: 37279167 DOI: 10.1080/22221751.2023.2222850] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been detected in wastewater. Wastewater-based epidemiology (WBE) is a practical and cost-effective tool for the assessment and controlling of pandemics and probably for examining SARS-CoV-2 presence. Implementation of WBE during the outbreaks is not without limitations. Temperature, suspended solids, pH, and disinfectants affect the stability of viruses in wastewater. Due to these limitations, instruments and techniques have been utilized to detect SARS-CoV-2. SARS-CoV-2 has been detected in sewage using various concentration methods and computer-aided analyzes. RT-qPCR, ddRT-PCR, multiplex PCR, RT-LAMP, and electrochemical immunosensors have been employed to detect low levels of viral contamination. Inactivation of SARS-CoV-2 is a crucial preventive measure against coronavirus disease 2019 (COVID-19). To better assess the role of wastewater as a transmission route, detection, and quantification methods need to be refined. In this paper, the latest improvements in quantification, detection, and inactivation of SARS-CoV-2 in wastewater are explained. Finally, limitations and future research recommendations are thoroughly described.
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Affiliation(s)
- Parashuram Kallem
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Environmental Health and Safety Program, College of Health Sciences, Abu Dhabi University, Abu Dhabi P.O. Box 59911, United Arab Emirates
| | - Hanaa Hegab
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology (BTC), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Biomedical Engineering, College of Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Emirates Bio-research center, Ministry of interior, Abu Dhabi, United Arab Emirates
| | - Shadi W Hasan
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
| | - Fawzi Banat
- Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
- Department of Chemical Engineering, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates
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23
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Sen P, Zhang Z, Li P, Adhikari BR, Guo T, Gu J, MacIntosh AR, van der Kuur C, Li Y, Soleymani L. Integrating Water Purification with Electrochemical Aptamer Sensing for Detecting SARS-CoV-2 in Wastewater. ACS Sens 2023; 8:1558-1567. [PMID: 36926840 PMCID: PMC10042147 DOI: 10.1021/acssensors.2c02655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 03/02/2023] [Indexed: 03/18/2023]
Abstract
Wastewater analysis of pathogens, particularly SARS-CoV-2, is instrumental in tracking and monitoring infectious diseases in a population. This method can be used to generate early warnings regarding the onset of an infectious disease and predict the associated infection trends. Currently, wastewater analysis of SARS-CoV-2 is almost exclusively performed using polymerase chain reaction for the amplification-based detection of viral RNA at centralized laboratories. Despite the development of several biosensing technologies offering point-of-care solutions for analyzing SARS-CoV-2 in clinical samples, these remain elusive for wastewater analysis due to the low levels of the virus and the interference caused by the wastewater matrix. Herein, we integrate an aptamer-based electrochemical chip with a filtration, purification, and extraction (FPE) system for developing an alternate in-field solution for wastewater analysis. The sensing chip employs a dimeric aptamer, which is universally applicable to the wild-type, alpha, delta, and omicron variants of SARS-CoV-2. We demonstrate that the aptamer is stable in the wastewater matrix (diluted to 50%) and its binding affinity is not significantly impacted. The sensing chip demonstrates a limit of detection of 1000 copies/L (1 copy/mL), enabled by the amplification provided by the FPE system. This allows the integrated system to detect trace amounts of the virus in native wastewater and categorize the amount of contamination into trace (<10 copies/mL), medium (10-1000 copies/mL), or high (>1000 copies/mL) levels, providing a viable wastewater analysis solution for in-field use.
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Affiliation(s)
- Payel Sen
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Zijie Zhang
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Phoebe Li
- Department of Physics, McMaster
University, Hamilton L8S 4K1, Canada
| | - Bal Ram Adhikari
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
| | - Tianyi Guo
- Forsee Instruments, Ltd.,
Hamilton L8P0A1, Canada
| | - Jimmy Gu
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
| | | | | | - Yingfu Li
- Department of Biochemistry and Biomedical Sciences,
McMaster University, Hamilton L8S 4K1,
Canada
- School of Biomedical Engineering, McMaster
University, Hamilton L8S 4K1, Canada
- Michael G. DeGroote Institute for Infectious Disease
Research, McMaster University, Hamilton L8S 4K1,
Canada
| | - Leyla Soleymani
- Department of Engineering Physics,
McMaster University, Hamilton L8S 4K1,
Canada
- School of Biomedical Engineering, McMaster
University, Hamilton L8S 4K1, Canada
- Michael G. DeGroote Institute for Infectious Disease
Research, McMaster University, Hamilton L8S 4K1,
Canada
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24
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Bhattacharya S, Abhishek K, Samiksha S, Sharma P. Occurrence and transport of SARS-CoV-2 in wastewater streams and its detection and remediation by chemical-biological methods. JOURNAL OF HAZARDOUS MATERIALS ADVANCES 2023; 9:100221. [PMID: 36818681 PMCID: PMC9762044 DOI: 10.1016/j.hazadv.2022.100221] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/02/2022] [Accepted: 12/18/2022] [Indexed: 06/18/2023]
Abstract
This paper explains the transmission of SARS-CoV and influences of several environmental factors in the transmission process. The article highlighted several methods of collection, sampling and monitoring/estimation as well as surveillance tool for detecting SARS-CoV in wastewater streams. In this context, WBE (Wastewater based epidemiology) is found to be the most effective surveillance tool. Several methods of genomic sequencing are discussed in the paper, which are applied in WBE, like qPCR-based wastewater testing, metagenomics-based analysis, next generation sequencing etc. Additionally, several types of biosensors (colorimetric biosensor, mobile phone-based biosensors, and nanomaterials-based biosensors) showed promising results in sensing SARS-CoV in wastewater. Further, this review paper outlined the gaps in assessing the factors responsible for transmission and challenges in detection and monitoring along with the remediation and disinfection methods of this virus in wastewater. Various methods of disinfection of SARS-CoV-2 in wastewater are discussed (primary, secondary, and tertiary phases) and it is found that a suite of disinfection methods can be used for complete disinfection/removal of the virus. Application of ultraviolet light, ozone and chlorine-based disinfectants are also discussed in the context of treatment methods. This study calls for continuous efforts to gather more information about the virus through continuous monitoring and analyses and to address the existing gaps and identification of the most effective tool/ strategy to prevent SARS-CoV-2 transmission. Wastewater surveillance can be very useful in effective surveillance of future pandemics and epidemics caused by viruses, especially after development of new technologies in detecting and disinfecting viral pathogens more effectively.
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Affiliation(s)
- Sayan Bhattacharya
- School of Ecology and Environment Studies, Nalanda University, Rajgir, 803116, Bihar, India
| | - Kumar Abhishek
- School of Ecology and Environment Studies, Nalanda University, Rajgir, 803116, Bihar, India
- Department of Environment Forest and Climate Change, Government of Bihar, Patna, 800015, Bihar, India
| | - Shilpi Samiksha
- Bihar State Pollution Control Board, Patna, 800015, Bihar, India
| | - Prabhakar Sharma
- School of Ecology and Environment Studies, Nalanda University, Rajgir, 803116, Bihar, India
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25
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Perez-Zabaleta M, Archer A, Khatami K, Jafferali MH, Nandy P, Atasoy M, Birgersson M, Williams C, Cetecioglu Z. Long-term SARS-CoV-2 surveillance in the wastewater of Stockholm: What lessons can be learned from the Swedish perspective? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160023. [PMID: 36356735 PMCID: PMC9640212 DOI: 10.1016/j.scitotenv.2022.160023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/14/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Wastewater-based epidemiology (WBE) can be used to track the spread of SARS-CoV-2 in a population. This study presents the learning outcomes from over two-year long monitoring of SARS-CoV-2 in Stockholm, Sweden. The three main wastewater treatment plants in Stockholm, with a total of six inlets, were monitored from April 2020 until June 2022 (in total 600 samples). This spans five major SARS-CoV-2 waves, where WBE data provided early warning signals for each wave. Further, the measured SARS-CoV-2 content in the wastewater correlated significantly with the level of positive COVID-19 tests (r = 0.86; p << 0.0001) measured by widespread testing of the population. Moreover, as a proof-of-concept, six SARS-CoV-2 variants of concern were monitored using hpPCR assay, demonstrating that variants can be traced through wastewater monitoring. During this long-term surveillance, two sampling protocols, two RNA concentration/extraction methods, two calculation approaches, and normalization to the RNA virus Pepper mild mottle virus (PMMoV) were evaluated. In addition, a study of storage conditions was performed, demonstrating that the decay of viral RNA was significantly reduced upon the addition of glycerol to the wastewater before storage at -80 °C. Our results provide valuable information that can facilitate the incorporation of WBE as a prediction tool for possible future outbreaks of SARS-CoV-2 and preparations for future pandemics.
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Affiliation(s)
- Mariel Perez-Zabaleta
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Amena Archer
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Kasra Khatami
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Mohammed Hakim Jafferali
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Prachi Nandy
- Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Merve Atasoy
- Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Madeleine Birgersson
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Cecilia Williams
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Zeynep Cetecioglu
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
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26
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Maal-Bared R, Qiu Y, Li Q, Gao T, Hrudey SE, Bhavanam S, Ruecker NJ, Ellehoj E, Lee BE, Pang X. Does normalization of SARS-CoV-2 concentrations by Pepper Mild Mottle Virus improve correlations and lead time between wastewater surveillance and clinical data in Alberta (Canada): comparing twelve SARS-CoV-2 normalization approaches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:158964. [PMID: 36167131 PMCID: PMC9508694 DOI: 10.1016/j.scitotenv.2022.158964] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 09/13/2022] [Accepted: 09/19/2022] [Indexed: 05/02/2023]
Abstract
Wastewater-based surveillance (WBS) data normalization is an analyte measurement correction that addresses variations resulting from dilution of fecal discharge by non-sanitary sewage, stormwater or groundwater infiltration. No consensus exists on what WBS normalization parameters result in the strongest correlations and lead time between SARS-CoV-2 WBS data and COVID-19 cases. This study compared flow, population size and biomarker normalization impacts on the correlations and lead times for ten communities in twelve sewersheds in Alberta (Canada) between September 2020 and October 2021 (n = 1024) to determine if normalization by Pepper Mild Mottle Virus (PMMoV) provides any advantages compared to other normalization parameters (e.g., flow, reported and dynamic population sizes, BOD, TSS, NH3, TP). PMMoV concentrations (GC/mL) corresponded with plant influent flows and were highest in the urban centres. SARS-CoV-2 target genes E, N1 and N2 were all negatively associated with wastewater influent pH, while PMMoV was positively associated with temperature. Pooled data analysis showed that normalization increased ρ-values by almost 0.1 and was highest for ammonia, TKN and TP followed by PMMoV. Normalization by other parameters weakened associations. None of the differences were statistically significant. Site-specific correlations showed that normalization of SARS-CoV-2 data by PMMoV only improved correlations significantly in two of the twelve systems; neither were large sewersheds or combined sewer systems. In five systems, normalization by traditional wastewater strength parameters and dynamic population estimates improved correlations. Lead time ranged between 1 and 4 days in both pooled and site-specific comparisons. We recommend that WBS researchers and health departments: a) Investigate WWTP influent properties (e.g., pH) in the WBS planning phase and use at least two parallel approaches for normalization only if shown to provide value; b) Explore normalization by wastewater strength parameters and dynamic population size estimates further; and c) Evaluate purchasing an influent flow meter in small communities to support long-term WBS efforts and WWTP management.
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Affiliation(s)
- Rasha Maal-Bared
- Quality Assurance and Environment, EPCOR Water, Edmonton, Alberta, Canada.
| | - Yuanyuan Qiu
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Qiaozhi Li
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Tiejun Gao
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Steve E Hrudey
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Sudha Bhavanam
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Norma J Ruecker
- Water Quality Services, City of Calgary, Calgary, Alberta, Canada
| | - Erik Ellehoj
- Ellehoj Redmond Consulting, Edmonton, Alberta, Canada
| | - Bonita E Lee
- Department of Paediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Xiaoli Pang
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada; Public Health Laboratories (ProvLab), Alberta Precision Laboratories (APL), Edmonton, Alberta, Canada
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Bowes DA, Driver EM, Kraberger S, Fontenele RS, Holland LA, Wright J, Johnston B, Savic S, Engstrom Newell M, Adhikari S, Kumar R, Goetz H, Binsfeld A, Nessi K, Watkins P, Mahant A, Zevitz J, Deitrick S, Brown P, Dalton R, Garcia C, Inchausti R, Holmes W, Tian XJ, Varsani A, Lim ES, Scotch M, Halden RU. Leveraging an established neighbourhood-level, open access wastewater monitoring network to address public health priorities: a population-based study. THE LANCET. MICROBE 2023; 4:e29-e37. [PMID: 36493788 PMCID: PMC9725778 DOI: 10.1016/s2666-5247(22)00289-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Before the COVID-19 pandemic, the US opioid epidemic triggered a collaborative municipal and academic effort in Tempe, Arizona, which resulted in the world's first open access dashboard featuring neighbourhood-level trends informed by wastewater-based epidemiology (WBE). This study aimed to showcase how wastewater monitoring, once established and accepted by a community, could readily be adapted to respond to newly emerging public health priorities. METHODS In this population-based study in Greater Tempe, Arizona, an existing opioid monitoring WBE network was modified to track SARS-CoV-2 transmission through the analysis of 11 contiguous wastewater catchments. Flow-weighted and time-weighted 24 h composite samples of untreated wastewater were collected at each sampling location within the wastewater collection system for 3 days each week (Tuesday, Thursday, and Saturday) from April 1, 2020, to March 31, 2021 (Area 7 and Tempe St Luke's Hospital were added in July, 2020). Reverse transcription quantitative PCR targeting the E gene of SARS-CoV-2 isolated from the wastewater samples was used to determine the number of genome copies in each catchment. Newly detected clinical cases of COVID-19 by zip code within the City of Tempe, Arizona were reported daily by the Arizona Department of Health Services from May 23, 2020. Maricopa County-level new positive cases, COVID-19-related hospitalisations, deaths, and long-term care facility deaths per day are publicly available and were collected from the Maricopa County Epidemic Curve Dashboard. Viral loads of SARS-CoV-2 (genome copies per day) measured in wastewater from each catchment were aggregated at the zip code level and city level and compared with the clinically reported data using root mean square error to investigate early warning capability of WBE. FINDINGS Between April 1, 2020, and March 31, 2021, 1556 wastewater samples were analysed. Most locations showed two waves in viral levels peaking in June, 2020, and December, 2020-January, 2021. An additional wave of viral load was seen in catchments close to Arizona State University (Areas 6 and 7) at the beginning of the fall (autumn) semester in late August, 2020. Additionally, an early infection hotspot was detected in the Town of Guadalupe, Arizona, starting the week of May 4, 2020, that was successfully mitigated through targeted interventions. A shift in early warning potential of WBE was seen, from a leading (mean of 8·5 days [SD 2·1], June, 2020) to a lagging (-2·0 days [1·4], January, 2021) indicator compared with newly reported clinical cases. INTERPRETATION Lessons learned from leveraging an existing neighbourhood-level WBE reporting dashboard include: (1) community buy-in is key, (2) public data sharing is effective, and (3) sub-ZIP-code (postal code) data can help to pinpoint populations at risk, track intervention success in real time, and reveal the effect of local clinical testing capacity on WBE's early warning capability. This successful demonstration of transitioning WBE efforts from opioids to COVID-19 encourages an expansion of WBE to tackle newly emerging and re-emerging threats (eg, mpox and polio). FUNDING National Institutes of Health's RADx-rad initiative, National Science Foundation, Virginia G Piper Charitable Trust, J M Kaplan Fund, and The Flinn Foundation.
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Affiliation(s)
- Devin A Bowes
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA; OneWaterOneHealth, The Arizona State University Foundation, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Erin M Driver
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; School for Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA
| | - Simona Kraberger
- The Biodesign Institute Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA
| | - Rafaela S Fontenele
- The Biodesign Institute Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA; School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - LaRinda A Holland
- The Biodesign Institute Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA
| | - Jillian Wright
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; OneWaterOneHealth, The Arizona State University Foundation, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Bridger Johnston
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Sonja Savic
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Melanie Engstrom Newell
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA
| | - Sangeet Adhikari
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; School for Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA
| | - Rahul Kumar
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Hanah Goetz
- School for Engineering of Matter, Transport, and Energy, Arizona State University, Tempe, AZ, USA
| | - Allison Binsfeld
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; OneWaterOneHealth, The Arizona State University Foundation, The Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Kaxandra Nessi
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Payton Watkins
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Akhil Mahant
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | - Jacob Zevitz
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA
| | | | | | | | | | - Rosa Inchausti
- Strategic Management and Diversity Office, Tempe, AZ, USA
| | - Wydale Holmes
- Strategic Management and Diversity Office, Tempe, AZ, USA
| | - Xiao-Jun Tian
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Arvind Varsani
- The Biodesign Institute Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA; School of Life Sciences, Arizona State University, Tempe, AZ, USA; Center for Evolution and Medicine, Arizona State University, Tempe, AZ, USA
| | - Efrem S Lim
- The Biodesign Institute Center for Fundamental and Applied Microbiomics, Arizona State University, Tempe, AZ, USA; School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Matthew Scotch
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; College of Health Solutions, Arizona State University, Tempe, AZ, USA
| | - Rolf U Halden
- The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ, USA; School for Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA; Global Futures Laboratory, Arizona State University, Tempe, AZ, USA; OneWaterOneHealth, The Arizona State University Foundation, The Biodesign Institute, Arizona State University, Tempe, AZ, USA.
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Evaluation of SARS-CoV-2 concentrations in wastewater and river water samples. CASE STUDIES IN CHEMICAL AND ENVIRONMENTAL ENGINEERING 2022; 6. [PMID: 37520921 PMCID: PMC9055419 DOI: 10.1016/j.cscee.2022.100214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
There are only a few established methods to determine the concentration of encapsulated viruses, such as SARS-CoV-2, in water matrices, limiting the application of wastewater-based epidemiology (WBE)—an important tool for public health research. The present study compared four methods that are commonly used to concentrate non-encapsulated enteric viruses for determining SARS-CoV-2 concentration in wastewater and wastewater-enriched river water samples. The four methods tested were electronegative membrane with Mg+2 addition, aluminum hydroxide-based precipitation, polyethylene glycol (PEG) 8000 precipitation, and ultrafiltration (with porosity of 10 and 50 kDa). Prior to the concentration step, filtration or centrifugation was performed to remove suspended particles from the samples (pretreatment). To evaluate the recovery efficiency (%), samples of SARS-CoV-2 from nasopharyngeal swabs obtained from RT-qPCR-positive patients were used as spiked samples. The second part of the analysis involved the quantification of the SARS-CoV-2 copy number in analytes without SARS-CoV-2-spiked samples. Among the tested methods, pretreatment via centrifugation followed by ultrafiltration with a 50-kDa cut-off was found the most efficient method for wastewater samples with spiked samples (54.3 or 113.01% efficiency). For the wastewater-enriched river samples with spiked samples, pretreatment via centrifugation followed by filtration using an electronegative membrane was the most efficient method (110.8% and 95.9% for N1 and N2 markers, respectively). However, ultrafiltration of the raw river water samples using 10 or 50 kDa cut-off filters and PEG 8000 precipitation showed the best concentration efficiency based on copy number, regardless of the pretreatment approach or sample type (values ranging from 3 × 105 to 6.7 × 103). The effectiveness of the concentration method can vary depending on the type of sample and concentration method. We consider that this study will contribute to more widespread use of WBE for the environmental surveillance of SARS-CoV-2.
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Cohen A, Maile-Moskowitz A, Grubb C, Gonzalez RA, Ceci A, Darling A, Hungerford L, Fricker R, Finkielstein CV, Pruden A, Vikesland PJ. Subsewershed SARS-CoV-2 Wastewater Surveillance and COVID-19 Epidemiology Using Building-Specific Occupancy and Case Data. ACS ES&T WATER 2022; 2:2047-2059. [PMID: 37552724 PMCID: PMC9128018 DOI: 10.1021/acsestwater.2c00059] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 08/10/2023]
Abstract
To evaluate the use of wastewater-based surveillance and epidemiology to monitor and predict SARS-CoV-2 virus trends, over the 2020-2021 academic year we collected wastewater samples twice weekly from 17 manholes across Virginia Tech's main campus. We used data from external door swipe card readers and student isolation/quarantine status to estimate building-specific occupancy and COVID-19 case counts at a daily resolution. After analyzing 673 wastewater samples using reverse transcription quantitative polymerase chain reaction (RT-qPCR), we reanalyzed 329 samples from isolation and nonisolation dormitories and the campus sewage outflow using reverse transcription digital droplet polymerase chain reaction (RT-ddPCR). Population-adjusted viral copy means from isolation dormitory wastewater were 48% and 66% higher than unadjusted viral copy means for N and E genes (1846/100 mL to 2733/100 mL/100 people and 2312/100 mL to 3828/100 mL/100 people, respectively; n = 46). Prespecified analyses with random-effects Poisson regression and dormitory/cluster-robust standard errors showed that the detection of N and E genes were associated with increases of 85% and 99% in the likelihood of COVID-19 cases 8 days later (incident-rate ratio (IRR) = 1.845, p = 0.013 and IRR = 1.994, p = 0.007, respectively; n = 215), and one-log increases in swipe card normalized viral copies (copies/100 mL/100 people) for N and E were associated with increases of 21% and 27% in the likelihood of observing COVID-19 cases 8 days following sample collection (IRR = 1.206, p < 0.001, n = 211 for N; IRR = 1.265, p < 0.001, n = 211 for E). One-log increases in swipe normalized copies were also associated with 40% and 43% increases in the likelihood of observing COVID-19 cases 5 days after sample collection (IRR = 1.403, p = 0.002, n = 212 for N; IRR = 1.426, p < 0.001, n = 212 for E). Our findings highlight the use of building-specific occupancy data and add to the evidence for the potential of wastewater-based epidemiology to predict COVID-19 trends at subsewershed scales.
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Affiliation(s)
- Alasdair Cohen
- Department of Population Health Sciences,
Virginia Tech, Blacksburg, Virginia 24061, United
States
- Department of Civil and Environmental Engineering,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Ayella Maile-Moskowitz
- Department of Civil and Environmental Engineering,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Christopher Grubb
- Department of Statistics, Virginia
Tech, Blacksburg, Virginia 24061, United States
| | - Raul A. Gonzalez
- Hampton Roads Sanitation
District, Virginia Beach, Virginia 23455, United
States
| | - Alessandro Ceci
- Molecular Diagnostics Laboratory, Fralin Biomedical
Research Institute, Virginia Tech, Roanoke, Virginia 24016,
United States
| | - Amanda Darling
- Department of Population Health Sciences,
Virginia Tech, Blacksburg, Virginia 24061, United
States
- Department of Civil and Environmental Engineering,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Laura Hungerford
- Department of Population Health Sciences,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Ronald
D. Fricker
- Department of Statistics, Virginia
Tech, Blacksburg, Virginia 24061, United States
| | - Carla V. Finkielstein
- Molecular Diagnostics Laboratory, Fralin Biomedical
Research Institute, Virginia Tech, Roanoke, Virginia 24016,
United States
- Integrated Cellular Responses Laboratory, Fralin
Biomedical Research Institute at VTC, Roanoke, Virginia 24016,
United States
- Department of Biological Sciences,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Amy Pruden
- Department of Civil and Environmental Engineering,
Virginia Tech, Blacksburg, Virginia 24061, United
States
| | - Peter J. Vikesland
- Department of Civil and Environmental Engineering,
Virginia Tech, Blacksburg, Virginia 24061, United
States
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Xie Y, Challis JK, Oloye FF, Asadi M, Cantin J, Brinkmann M, McPhedran KN, Hogan N, Sadowski M, Jones PD, Landgraff C, Mangat C, Servos MR, Giesy JP. RNA in Municipal Wastewater Reveals Magnitudes of COVID-19 Outbreaks across Four Waves Driven by SARS-CoV-2 Variants of Concern. ACS ES&T WATER 2022; 2:1852-1862. [PMID: 37552734 PMCID: PMC8887651 DOI: 10.1021/acsestwater.1c00349] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 02/10/2022] [Accepted: 02/11/2022] [Indexed: 05/07/2023]
Abstract
There are no standardized protocols for quantifying severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater to date, especially for population normalization. Here, a pipeline was developed, applied, and assessed to quantify SARS-CoV-2 and key variants of concern (VOCs) RNA in wastewater at Saskatoon, Canada. Normalization approaches using recovery ratio and extraction efficiency, wastewater parameters, or population indicators were assessed by comparing to daily numbers of new cases. Viral load was positively correlated with daily new cases reported in the sewershed. Wastewater surveillance (WS) had a lead time of approximately 7 days, which indicated surges in the number of new cases. WS revealed the variant α and δ driving the third and fourth wave, respectively. The adjustment with the recovery ratio and extraction efficiency improved the correlation between viral load and daily new cases. Normalization of viral concentration to concentrations of the artificial sweetener acesulfame K improved the trend of viral load during the Christmas and New Year holidays when populations were dynamic and variable. Acesulfame K performed better than pepper mild mottle virus, creatinine, and ammonia for population normalization. Hence, quality controls to characterize recovery ratios and extraction efficiencies and population normalization with acesulfame are promising for precise WS programs supporting decision-making in public health.
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Affiliation(s)
- Yuwei Xie
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
| | - Jonathan K. Challis
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
| | - Femi F. Oloye
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
| | - Mohsen Asadi
- Department of Civil, Geological and Environmental
Engineering, College of Engineering, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5A9,
Canada
| | - Jenna Cantin
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
| | - Markus Brinkmann
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
- School of Environment and Sustainability,
University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
- Global Institute for Water Security,
University of Saskatchewan, Saskatoon, Saskatchewan S7N 3H5,
Canada
| | - Kerry N. McPhedran
- Department of Civil, Geological and Environmental
Engineering, College of Engineering, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5A9,
Canada
- Global Institute for Water Security,
University of Saskatchewan, Saskatoon, Saskatchewan S7N 3H5,
Canada
| | - Natacha Hogan
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
- College of Agriculture and Bioresources, Department of
Animal and Poultry Sciences, University of Saskatchewan,
Saskatoon, Saskatchewan S7N 5A8, Canada
| | - Mike Sadowski
- Wastewater Treatment Plant, Saskatoon Water Department,
City of Saskatoon, Saskatoon, Saskatchewan S7M 1X5,
Canada
| | - Paul D. Jones
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
- School of Environment and Sustainability,
University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
| | - Chrystal Landgraff
- Division of Enteric Diseases, National Microbiology
Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba
R3E 3R2, Canada
- Food Science Department, University of
Guelph, Guelph, Ontario N1G 2W1, Canada
| | - Chand Mangat
- Antimicrobial Resistance and Nosocomial Infections,
National Microbiology Laboratory, Public Health Agency of
Canada, Winnipeg, Manitoba R3E 3R2, Canada
| | - Mark R. Servos
- Department of Biology, University of
Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - John P. Giesy
- Toxicology Centre, University of
Saskatchewan, Saskatoon, Saskatchewan S7N 5B3,
Canada
- Department of Veterinary Biomedical Sciences,
University of Saskatchewan, Saskatoon, Saskatchewan S7N 5B4,
Canada
- Department of Environmental Sciences,
Baylor University, Waco, Texas 76706, United
States
- Department of Zoology and Center for Integrative
Toxicology, Michigan State University, East Lansing, Michigan
48824, United States
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Ma C, Lu D, Gan H, Yao Z, Zhu DZ, Luo J, Fu Q, Kurup P. The critical experimental aspects for developing pathogen electrochemical biosensors: A lesson during the COVID-19 pandemic. Talanta 2022:124009. [PMCID: PMC9562616 DOI: 10.1016/j.talanta.2022.124009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Though the bitter global pandemic posed a severe public health threat, it set an unprecedented stage for different research teams to present various technologies for detecting SARS-CoV-2, providing a rare and hard-won lesson for one to comprehensively survey the core experimental aspects in developing pathogens electrochemical biosensors. Apart from collecting all the published biosensor studies, we focused on the effects and consequences of using different receptors, such as antibodies, aptamers, ACE 2, and MIPs, which are one of the core topics of developing a pathogen biosensor. In addition, we tried to find an appropriate and distinctive application scenario (e.g., wastewater-based epidemiology) to maximize the advantages of using electrochemical biosensors to detect pathogens. Based on the enormous amount of information from those published studies, features that fit and favor wastewater pathogen detection can be picked up and integrated into a specific strategy to perform quantitative measurements in wastewater samples.
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Affiliation(s)
- Chen Ma
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China
| | - Dingnan Lu
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China,Department of Civil and Environmental Engineering, University of Massachusetts Lowell, One University Ave., Lowell, MA, 01854, USA,Corresponding author. Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China
| | - Huihui Gan
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China
| | - Zhiyuan Yao
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China
| | - David Z. Zhu
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China,Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, T6G 1H9, Canada
| | - Jiayue Luo
- Department of Civil and Environmental Engineering, Ningbo University, Zhejiang, China,Department of Civil and Environmental Engineering, University of Massachusetts Lowell, One University Ave., Lowell, MA, 01854, USA
| | - Qiang Fu
- Department of Biomedical Engineering and Biotechnology, University of Massachusetts Lowell, One University Ave., Lowell, MA, 01854, USA
| | - Pradeep Kurup
- Department of Civil and Environmental Engineering, University of Massachusetts Lowell, One University Ave., Lowell, MA, 01854, USA,Corresponding author
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Mousazadeh M, Kabdaşlı I, Khademi S, Sandoval MA, Moussavi SP, Malekdar F, Gilhotra V, Hashemi M, Dehghani MH. A critical review on the existing wastewater treatment methods in the COVID-19 era: What is the potential of advanced oxidation processes in combatting viral especially SARS-CoV-2? JOURNAL OF WATER PROCESS ENGINEERING 2022; 49:103077. [PMID: 35990175 PMCID: PMC9381433 DOI: 10.1016/j.jwpe.2022.103077] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/19/2022] [Accepted: 08/15/2022] [Indexed: 06/01/2023]
Abstract
The COVID-19 epidemic has put the risk of virus contamination in water bodies on the horizon of health authorities. Hence, finding effective ways to remove the virus, especially SARS-CoV-2, from wastewater treatment plants (WWTPs) has emerged as a hot issue in the last few years. Herein, this study first deals with the fate of SARS-CoV-2 genetic material in WWTPs, then critically reviews and compares different wastewater treatment methods for combatting COVID-19 as well as to increase the water quality. This critical review sheds light the efficiency of advanced oxidation processes (AOPs) to inactivate virus, specially SARS-CoV-2 RNA. Although several physicochemical treatment processes (e.g. activated sludge) are commonly used to eliminate pathogens, AOPs are the most versatile and effective virus inactivation methods. For instance, TiO2 is the most known and widely studied photo-catalyst innocuously utilized to degrade pollutants as well as to photo-induce bacterial and virus disinfection due to its high chemical resistance and efficient photo-activity. When ozone is dissolved in water and wastewater, it generates a wide spectrum of the reactive oxygen species (ROS), which are responsible to degrade materials in virus membranes resulting in destroying the cell wall. Furthermore, electrochemical advanced oxidation processes act through direct oxidation when pathogens react at the anode surface or by indirect oxidation through oxidizing species produced in the bulk solution. Consequently, they represent a feasible choice for the inactivation of a wide range of pathogens. Nonetheless, there are some challenges with AOPs which should be addressed for application at industrial-scale.
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Affiliation(s)
- Milad Mousazadeh
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
- Department of Environmental Health Engineering, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Işık Kabdaşlı
- İstanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazağa Campus, 34469 Maslak, İstanbul, Turkey
| | - Sara Khademi
- Health, Safety, and Environment Specialist, North Drilling Company, Ahvaz, Iran
| | - Miguel Angel Sandoval
- Universidad de Santiago de Chile USACH, Facultad de Química y Biología, Departamento de Química de los Materiales, Laboratorio de Electroquímica Medio Ambiental, LEQMA, Casilla 40, Correo 33, Santiago, Chile
- Universidad de Guanajuato, División de Ciencias Naturales y Exactas, Departamento de Ingeniería Química, Noria Alta S/N, 36050, Guanajuato, Guanajuato, Mexico
| | | | - Fatemeh Malekdar
- Department of Foot and Mouth Disease Vaccine Production, Razi Vaccine and Serum Research Institute, Karaj, Iran
| | - Vishakha Gilhotra
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
| | - Marjan Hashemi
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Dehghani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran
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de Freitas Bueno R, Claro ICM, Augusto MR, Duran AFA, Camillo LDMB, Cabral AD, Sodré FF, Brandão CCS, Vizzotto CS, Silveira R, de Melo Mendes G, Arruda AF, de Brito NN, Machado BAS, Duarte GRM, de Lourdes Aguiar-Oliveira M. Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience. JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING 2022; 10:108298. [PMID: 35873721 PMCID: PMC9295330 DOI: 10.1016/j.jece.2022.108298] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/05/2022] [Accepted: 07/17/2022] [Indexed: 05/11/2023]
Abstract
Since 2020, developed countries have rapidly shared both publicly and academically relevant wastewater surveillance information. Data on SARS-CoV-2 circulation is pivotal for guiding public health policies and improving the COVID-19 pandemic response. Conversely, low- and middle-income countries, such as Latin America and the Caribbean, showed timid activities in the Wastewater-Based Epidemiology (WBE) context. In these countries, isolated groups perform viral wastewater monitoring, and the data are unevenly shared or accessible to health agencies and the scientific community. This manuscript aims to highlight the relevance of a multiparty effort involving research, public health, and governmental agencies to support usage of WBE methodology to its full potential during the COVID-19 pandemic as part of a joint One Health surveillance approach. Thus, in this study, we explored the results obtained from wastewater surveillance in different regions of Brazil as a part of the COVID-19 Wastewater Monitoring Network ANA (National Water Agency), MCTI (Ministry of Science, Technology, and Innovations) and MS (Ministry of Health). Over the epidemiological weeks of 2021 and early 2022, viral RNA concentrations in wastewater followed epidemiological trends and variations. The highest viral loads in wastewater samples were detected during the second Brazilian wave of COVID-19. Corroborating international reports, our experience demonstrated usefulness of the WBE approach in viral surveillance. Wastewater surveillance allows hotspot identification, and therefore, early public health interventions. In addition, this methodology allows tracking of asymptomatic and oligosymptomatic individuals, who are generally underreported, especially in emerging countries with limited clinical testing capacity. Therefore, WBE undoubtedly contributes to improving public health responses in the context of this pandemic, as well as other sanitary emergencies.
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Affiliation(s)
- Rodrigo de Freitas Bueno
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | - Ieda Carolina Mantovani Claro
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | - Matheus Ribeiro Augusto
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | - Adriana Feliciano Alves Duran
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | | | - Aline Diniz Cabral
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil
| | | | | | - Carla Simone Vizzotto
- University of Brasilia, Department of Civil and Environmental Engineering, Brasília, Federal District, Brazil
| | - Rafaella Silveira
- University of Brasilia. Institute of Chemistry, Brasília, Federal District, Brazil
- University of Brasilia, Department of Civil and Environmental Engineering, Brasília, Federal District, Brazil
| | | | | | | | - Bruna Aparecida Souza Machado
- University Center SENAI/CIMATEC. SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), Salvador, Bahia, Brazil
| | | | - Maria de Lourdes Aguiar-Oliveira
- Laboratory of Respiratory Viruses and Measles, National/MoH and International/WHO Reference Laboratory in COVID-19, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil
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Review of Method and a New Tool for Decline and Inactive SARS-CoV-2 in Wastewater Treatment. CLEANER CHEMICAL ENGINEERING 2022. [PMCID: PMC9213033 DOI: 10.1016/j.clce.2022.100037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Following the recent outbreak of the COVID-19 pandemic caused by the SARS-CoV-2 virus, monitoring sewage has become crucial, according to reports that the virus was detected in sewage. Currently, various methods are discussed for understanding the SARS-CoV-2 using wastewater surveillance. This paper first introduces the fundamental knowledge of primary, secondary, and tertiary water treatment on SARS-CoV-2. Next, a thorough overview is presented to summarize the recent developments and breakthroughs in removing SARS-CoV-2 using solar water disinfection (SODIS) and UV (UVA (315–400 nm), UVB (280-315 nm), and UVC (100–280 nm)) process. In addition, Due to the fact that the distilled water can be exposed to sunlight if there is no heating source, it can be disinfected using solar water disinfection (SODIS). SODIS, on the other hand, is a well-known method of reducing pathogens in contaminated water; moreover, UVC can inactivate SARS-CoV-2 when the wavelength is between 100 to 280 nanometers. High temperatures (more than 56°C) and UVC are essential for eliminating SARS-CoV-2; however, the SODIS systems use UVA and work at lower temperatures (less than45°C). Therefore, using SODIS methods for wastewater treatment (or providing drinking water) is not appropriate during a situation like the ongoing pandemic. Finally, a wastewater-based epidemiology (WBE) tracking tool for SARS-CoV-2 can be used to detect its presence in wastewater.
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Hyllestad S, Myrmel M, Lomba JAB, Jordhøy F, Schipper SK, Amato E. Effectiveness of environmental surveillance of SARS-CoV-2 as an early warning system during the first year of the COVID-19 pandemic: a systematic review. JOURNAL OF WATER AND HEALTH 2022; 20:1223-1242. [PMID: 36044191 DOI: 10.2166/wh.2022.115] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Since infected persons shed SARS-CoV-2 in faeces before symptoms appear, environmental surveillance (ES) may serve as an early warning system (EWS) for COVID-19 and new variants of concern. The ES of SARS-CoV-2 has been widely reviewed; however, its effectiveness as an EWS for SARS-CoV-2 in terms of timeliness, sensitivity and specificity has not been systematically assessed. We conducted a systematic review to identify and synthesise evidence on the ES of SARS-CoV-2 as an EWS to evaluate the added value for public health. Of 1,014 studies identified, we considered 29 for a qualitative synthesis of the timeliness of ES as an EWS for COVID-19, while six studies were assessed for the ability to detect new variants and two for both aims. The synthesis indicates ES may serve as an EWS of 1-2 weeks. ES could complement clinical surveillance for SARS-CoV-2; however, its cost-benefit value for public health decisions needs to be assessed based on the stage of the pandemic and resources available. Studies focusing methodological knowledge gaps as well as how to use and interpret ES signals for public health actions are needed, as is the sharing of knowledge within countries/areas with long experience of such surveillance.
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Affiliation(s)
- Susanne Hyllestad
- Department for Infection Control and Preparedness, Norwegian Institute of Public Health (NIPH), Oslo, Norway E-mail:
| | - Mette Myrmel
- Faculty of Veterinary Medicine, Virology Unit, Norwegian University of Life Science (NMBU), Oslo, Norway
| | - Jose Antonio Baz Lomba
- Department of Environmental Chemistry and Technology, Norwegian Institute for Water Research (NIVA), Oslo, Norway
| | - Fredrik Jordhøy
- Department for Infection Control and Preparedness, Norwegian Institute of Public Health (NIPH), Oslo, Norway E-mail:
| | - Svanhild Kjørsvik Schipper
- Department for Infection Control and Preparedness, Norwegian Institute of Public Health (NIPH), Oslo, Norway E-mail:
| | - Ettore Amato
- Department for Infection Control and Preparedness, Norwegian Institute of Public Health (NIPH), Oslo, Norway E-mail:
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Masachessi G, Castro G, Cachi AM, Marinzalda MDLÁ, Liendo M, Pisano MB, Sicilia P, Ibarra G, Rojas RM, López L, Barbás G, Cardozo D, Ré VE, Nates SV. Wastewater based epidemiology as a silent sentinel of the trend of SARS-CoV-2 circulation in the community in central Argentina. WATER RESEARCH 2022; 219:118541. [PMID: 35584586 PMCID: PMC9066365 DOI: 10.1016/j.watres.2022.118541] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/30/2022] [Accepted: 05/01/2022] [Indexed: 05/08/2023]
Abstract
Monitoring wastewater for the traces of viruses allows effective surveillance of entire communities, including symptomatic and asymptomatic infected individuals, providing information on whether a specific pathogen is circulating in a population. In the context of the COVID-19 pandemic, 261 wastewater samples from six communities of the province of Córdoba, Argentina were analyzed. From mid-May 2020 to the end of August 2021, raw sewage samples were collected from the central network pipe that enters into the Wastewater Treatment Plants (WWTP) in Córdoba city and five communities in the Punilla Valley. SARS-CoV-2 was concentrated by using the polyethylene glycol-6000 precipitation method. Viral genomes were extracted from concentrated samples, and N- and E-SARS-CoV-2 genes were detected by using real time RT-PCR. Wastewater samples that resulted positive for SARS-CoV-2 genome detection were subjected to viral variants of concern (VOCs) identification by real time RT-PCR. Overall, just by using the identification of the N gene or E gene, the rates of viral genome detection were 43.4% (86/198) and 51.5% (102/198) respectively, and by using both methodologies (positivity criterion: detection of N and / or E gene), the detection rate was 71.2% (141/198). Thereby, the optimal strategy to study the SARS-CoV-2 genome in wastewater would be the use of the combined detection of both genes. Detection of SARS-CoV-2 variants in wastewater reflected their circulation in the community, showing no VOCs detection in the first COVID-19 wave and their co-circulation with Gamma, Alpha and Delta VOCs during 2021. Therefore, SARS-CoV-2 Wastewater Based Epidemiology (WBE) described the introduction, permanence and/or the co-circulation of viral variants in the community. In geographical areas with a stable population, SARS-CoV-2 WBE could be used as an early warning sign of new COVID-19 cases, whereas in localities with a low number of inhabitants and high tourist influx, WBE may only be useful to reflect the circulation of the virus in the community. Overall, the monitoring of SARS-CoV-2 in wastewater can become a silent sentinel of the trend of viral circulation in the community, providing supplementary information for clinical surveillance to support public health measures.
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Affiliation(s)
- Gisela Masachessi
- Instituto de Virología Dr. J. M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina.
| | - Gonzalo Castro
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Ariana Mariela Cachi
- Instituto Nacional de Medicina Aeronáutica y Espacial, FAA, Av. Fuerza Aérea Argentina Km 6 1/2 S/N B.0 Civico, Córdoba X5010, Argentina; Facultad de la Fuerza Aérea, Universidad de la Defensa Nacional, Av. Fuerza Aerea Argentina 5011, Córdoba X5000, Argentina
| | - María de Los Ángeles Marinzalda
- Instituto Nacional de Medicina Aeronáutica y Espacial, FAA, Av. Fuerza Aérea Argentina Km 6 1/2 S/N B.0 Civico, Córdoba X5010, Argentina; Facultad de la Fuerza Aérea, Universidad de la Defensa Nacional, Av. Fuerza Aerea Argentina 5011, Córdoba X5000, Argentina
| | - Matías Liendo
- Instituto de Virología Dr. J. M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina
| | - María Belén Pisano
- Instituto de Virología Dr. J. M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| | - Paola Sicilia
- Departamento Laboratorio Central, Ministerio de Salud de la Provincia de Córdoba, T. Cáceres de Allende 421, Córdoba X5000HVE, Argentina
| | - Gustavo Ibarra
- Planta Municipal de tratamiento de efluente cloacales Bajo Grande-Laboratorio de análisis fisicoquímicos, bacteriológicos EDAR Bajo Grande, Cam. Chacra de la Merced 901, Córdoba X5000, Argentina
| | - Ricardo Manuel Rojas
- Cooperativa Integral Regional de Provisión de Servicios Públicos, Vivienda y Consumo Limitada (COOPI), Moreno 78, Villa Carlos Paz, X5152 Córdoba, Argentina
| | - Laura López
- Área de Epidemiología, Ministerio de Salud de la Provincia de Córdoba, Av. Vélez Sarsfield 2311 Ciudad Universitaria, Córdoba X5016 GCH, Argentina
| | - Gabriela Barbás
- Secretaría de Prevención y Promoción de la Salud, Ministerio de Salud de la Provincia de Córdoba, Av. Vélez Sarsfield 2311 Ciudad Universitaria, Córdoba X5016 GCH, Argentina
| | - Diego Cardozo
- Ministerio de Salud de la Provincia de Córdoba, Argentina Av. Vélez Sarsfield 2311 Ciudad Universitaria, Córdoba X5016 GCH, Argentina
| | - Viviana Elisabeth Ré
- Instituto de Virología Dr. J. M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, CABA C1425FQB, Argentina
| | - Silvia Viviana Nates
- Instituto de Virología Dr. J. M. Vanella, Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n, Ciudad Universitaria, Córdoba X5000, Argentina
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Guo Y, Li J, O'Brien J, Sivakumar M, Jiang G. Back-estimation of norovirus infections through wastewater-based epidemiology: A systematic review and parameter sensitivity. WATER RESEARCH 2022; 219:118610. [PMID: 35598472 DOI: 10.1016/j.watres.2022.118610] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 04/20/2022] [Accepted: 05/12/2022] [Indexed: 06/15/2023]
Abstract
The amount of norovirus RNA (Ribonucleic Acid) in raw wastewater, collected from a wastewater treatment plant (WWTP), can provide an indication of disease prevalence within the sampled catchment. However, an accurate back-estimation might be impeded by the uncertainties from in-sewer/in-sample degradation of viral RNA, variable shedding magnitude, and difficulties in measurement within raw wastewater. The current study reviewed the published literature regarding the factors of norovirus shedding, viral RNA decay in wastewater, and the occurrence of norovirus RNA in raw wastewater based on molecular detection. Sensitivity analysis for WBE back-estimation was conducted using the reported data of the factors mentioned above considering different viral loads in wastewater samples. It was found that the back-estimation is more sensitive to analytical detection uncertainty than shedding variability for norovirus. Although seasonal temperature change can lead to variation of decay rates and may influence the sensitivity of this pathogen-specific parameter, decay rates of norovirus RNA contribute negligibly to the variance in estimating disease prevalence, based on the available data from decay experiments in bulk wastewater under different temperatures. However, the effects of in-sewer transportation on viral RNA decay and retardation by sewer biofilms on pipe surfaces are largely unknown. Given the highest uncertainty from analytical measurement by molecular methods and complexity of in-sewer processes that norovirus experienced during the transportation to WWTP, future investigations are encouraged to improve the accuracy of viral RNA detection in wastewater and delineate viral retardation/interactions with wastewater biofilms in real sewers.
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Affiliation(s)
- Ying Guo
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, Australia
| | - Jiaying Li
- Advanced Water Management Centre, The University of Queensland, St. Lucia, Queensland 4072, Australia; Queensland Alliance for Environmental Health Sciences, The University of Queensland, Woolloongabba, Queensland 4102, Australia
| | - Jake O'Brien
- Queensland Alliance for Environmental Health Sciences, The University of Queensland, Woolloongabba, Queensland 4102, Australia
| | - Muttucumaru Sivakumar
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, Australia
| | - Guangming Jiang
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, Australia; Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, Australia.
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38
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Mondelli G, Silva ER, Claro ICM, Augusto MR, Duran AFA, Cabral AD, de Moraes Bomediano Camillo L, Dos Santos Oliveira LH, de Freitas Bueno R. First case of SARS-CoV-2 RNA detection in municipal solid waste leachate from Brazil. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 824:153927. [PMID: 35182618 PMCID: PMC9365452 DOI: 10.1016/j.scitotenv.2022.153927] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 01/17/2022] [Accepted: 02/12/2022] [Indexed: 05/12/2023]
Abstract
This work presents the first case of SARS-CoV-2 RNA detection in leachate collected from a transfer station in the city of São Paulo, Brazil. After calibration of the viral detection method already used for wastewater samples with a pilot leachate sample and virus fragments in laboratory, twelve polyethylene glycol concentrated leachates samples were tested by RT-qPCR. The results confirmed the presence of N1 gene in 9 of the 12 analyzed samples between epidemiological weeks 33 and 38 of the year 2021 (08/15/2021 to 09/19/2021). The occurrence of the N2 gene was only observed in 5 of the 12 samples. The concentration values for N1 and N2 genes varied between 3.1 and 4.6 log10.GC·L-1, which are values close to those measured in sanitary wastewater. This method showed to be a promising procedure to verify the presence of viral RNA in municipal solid waste leachate, being especially useful where there is no treatment system and sanitation infrastructure, which makes the conventional wastewater surveillance unfeasible.
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Affiliation(s)
- Giulliana Mondelli
- Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil.
| | | | - Ieda Carolina Mantovani Claro
- Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil
| | - Matheus Ribeiro Augusto
- Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil
| | - Adriana Feliciano Alves Duran
- Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil
| | - Aline Diniz Cabral
- Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil
| | | | | | - Rodrigo de Freitas Bueno
- Coordinator of the COVID-19 Monitoring Network in Wastewater National Water and Basic Sanitation Agency, Ministry of Science, Technology and Innovation and Ministry of Health, Brazil; Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil
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39
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Bandawe G, Chitenje M, Bitiliyu-Bangoh J, Kampira E. Approaches to Deployment of Molecular Testing for SARS-CoV-2 in Resource-Limited Settings. Clin Lab Med 2022; 42:283-298. [PMID: 35636827 PMCID: PMC8885302 DOI: 10.1016/j.cll.2022.02.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Deployment of molecular testing for SARS-CoV-2 in resource-limited settings is challenging. Scale-up of molecular had to be conducted with a laboratory system strengthening approach that emphasize laboratory integration. National reference laboratories play a central role. In Malawi the molecular testing was underpinned by existing pathogen control programs for human immunodeficiency virus and tuberculosis that use Abbott and GeneXpert machines and reagents. Despite this, the impact on these programs was well managed. Antigen testing increased access to testing. Pooled testing and direct-to-polymerase chain reaction methods have the potential to save costs and further increase access to molecular tests.
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Affiliation(s)
- Gama Bandawe
- Biological Sciences Department, Academy of Medical Sciences, Malawi University of Science and Technology, P. O. Box 5196, Limbe, Malawi.
| | - Moses Chitenje
- International Teaching and Education Centre for Health (ITECH), PO Box 30369, Capital City Lilongwe 3, Plot 13/14, 1st Floor ARWA House, City Center, Lilongwe, Malawi; Public Health Institute of Malawi, Ministry of Health, Lilongwe, Malawi
| | | | - Elizabeth Kampira
- Centres for Disease Control and Prevention, P. O. Box 30016, NICO House, City Centre, Lilongwe 3, Lilongwe, Malawi
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40
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Owen C, Wright-Foulkes D, Alvarez P, Delgado H, Durance EC, Wells GF, Poretsky R, Shrestha A. Reduction and discharge of SARS-CoV-2 RNA in Chicago-area water reclamation plants. FEMS MICROBES 2022; 3:xtac015. [PMID: 37332512 PMCID: PMC10117756 DOI: 10.1093/femsmc/xtac015] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/14/2022] [Accepted: 05/05/2022] [Indexed: 08/24/2023] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA is commonly excreted in the feces and urine of infected individuals and is, therefore, detected in wastewaters where infection is present in the surrounding population. Water reclamation plants (WRPs) that treat these wastewaters commonly discharge treated effluents into the surrounding environment, yet little is known about the removal or persistence of SARS-CoV-2 RNA through wastewater treatment systems and potential for eventual release into the environment. We collected 361 24-hour composite influent and effluent samples from seven WRPs in the Greater Chicago Area in Illinois. Samples were collected over a period of 21 weeks for three large WRPs (with design max flows of 1.89-2.32 billion gallons per day and serving a combined population of 4.62 million people) and 11 weeks for four smaller WRPs (with design max flows of 96.3-186 million gallons per day and serving a combined population of >0.5 million people). A total of two of the larger WRPs implemented seasonal disinfection (using UV light or chlorination/dechlorination) for 8 weeks of this sampling period. SARS-CoV-2 RNA was quantified in the influent and effluent samples by reverse-transcription quantitative PCR (RT-qPCR) of the N1 and N2 targets of the nucleocapsid (N) gene. Although SARS-CoV-2 RNA was regularly detected in influent and effluent from all WRPs, viral RNA concentrations in the effluent samples were considerably lower, with mean effluent: influent gene copy concentration ratios ranging from 1:160 to 1:2.95 between WRPs. Samples collected while disinfection was active vs. inactive did not show any significant difference in the portion of RNA persisting through the treatment process (P > .05).
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Affiliation(s)
- Christopher Owen
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States
| | - Dorothy Wright-Foulkes
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL 60610, United States
| | - Prisila Alvarez
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States
| | - Haidy Delgado
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States
| | - Eva C Durance
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States
| | - George F Wells
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, United States
| | - Rachel Poretsky
- Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States
| | - Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL 60610, United States
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41
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Evaluating the Use of Alternative Normalization Approaches on SARS-CoV-2 Concentrations in Wastewater: Experiences from Two Catchments in Northern Sweden. ENVIRONMENTS 2022. [DOI: 10.3390/environments9030039] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The detection of SARS-CoV-2 RNA fragments in feces has paved the way for wastewater-based epidemiology to contribute to COVID-19 mitigation measures, with its use in a public health context still under development. As a way to facilitate data comparison, this paper explores the impact of using alternative normalization approaches (wastewater treatment plant (WWTP) flow, population size estimates (derived using total nitrogen (TN), total phosphorus (TP) and census data) and pepper mild mottle virus (PMMoV)) on the relationship between viral wastewater data and clinical case numbers. Influent wastewater samples were collected at two WWTPs in Luleå, northern Sweden, between January and March 2021. TN and TP were determined upon sample collection, with RNA analysis undertaken on samples after one freeze–thaw cycle. The strength of the correlation between normalization approaches and clinical cases differed between WWTPs (r ≤ 0.73 or r ≥ 0.78 at the larger WWTP and r ≤ 0.23 or r ≥ 0.43 at the smaller WWTP), indicating that the use of wastewater as an epidemiological tool is context-dependent. Depending on the normalization approach utilized, time-shifted analyses imply that wastewater data on SARS-CoV-2 RNA pre-dated a rise in clinical cases by 0–2 and 5–8 days, for the lager and smaller WWTPs, respectively. SARS-CoV-2 viral loads normalized to the population or PMMoV better reflect the number of clinical cases when comparing wastewater data between sewer catchments.
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42
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Twigg C, Wenk J. Review and Meta‐Analysis: SARS‐CoV‐2 and Enveloped Virus Detection in Feces and Wastewater. CHEMBIOENG REVIEWS 2022. [PMCID: PMC9083821 DOI: 10.1002/cben.202100039] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Detection and quantification of viruses supplies key information on their spread and allows risk assessment for public health. In wastewater, existing detection methods have been focusing on non‐enveloped enteric viruses due to enveloped virus transmission, such as coronaviruses, by the fecal‐oral route being less likely. Since the beginning of the SARS‐CoV‐2 pandemic, interest and importance of enveloped virus detection in wastewater has increased. Here, quantitative studies on SARS‐CoV‐2 occurrence in feces and raw wastewater and other enveloped viruses via quantitative real‐time reverse transcription polymerase chain reaction (RT‐qPCR) during the early stage of the pandemic until April 2021 are reviewed, including statistical evaluation of the positive detection rate and efficiency throughout the detection process involving concentration, extraction, and amplification stages. Optimized and aligned sampling protocols and concentration methods for enveloped viruses, along with SARS‐CoV‐2 surrogates, in wastewater environments may improve low and variable recovery rates providing increased detection efficiency and comparable data on viral load measured across different studies.
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Affiliation(s)
- Charlotte Twigg
- University of Bath Department of Chemical Engineering and Water Innovation and Research Centre (WIRC@Bath) Claverton Down BA2 7AY Bath Somerset United Kingdom
| | - Jannis Wenk
- University of Bath Department of Chemical Engineering and Water Innovation and Research Centre (WIRC@Bath) Claverton Down BA2 7AY Bath Somerset United Kingdom
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43
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Peterson SW, Lidder R, Daigle J, Wonitowy Q, Dueck C, Nagasawa A, Mulvey MR, Mangat CS. RT-qPCR detection of SARS-CoV-2 mutations S 69-70 del, S N501Y and N D3L associated with variants of concern in Canadian wastewater samples. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022. [PMID: 34756912 DOI: 10.1101/2021.05.20.21257536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
SARS-CoV-2 variants of concern (VoC) have been increasingly detected in clinical surveillance in Canada and internationally. These VoC are associated with higher transmissibility rates and in some cases, increased mortality. In this work we present a national wastewater survey of the distribution of three SARS-CoV-2 mutations found in the B.1.1.7 (alpha), B.1.351 (beta), and P.1 (gamma) VoC, namely the S-gene 69-70 deletion, N501Y mutation, and N-gene D3L. RT-qPCR allelic discrimination assays were sufficiently sensitive and specific for detection and relative quantitation of SARS-CoV-2 variants in wastewater to allow for rapid population-level screening and surveillance. We tested 261 samples collected from 5 Canadian cities (Vancouver, Edmonton, Toronto, Montreal, and Halifax) and 6 communities in the Northwest Territories from February 16th to March 28th, 2021. VoC were not detected in the Territorial communities, suggesting the absence of VoC SARS-CoV-2 cases in those communities. Percentage of variant remained low throughout the study period in the majority of the sites tested, however the Toronto sites showed a marked increase from ~25% to ~75% over the study period. The results of this study highlight the utility of population level molecular surveillance of SARS-CoV-2 VoC using wastewater. Wastewater monitoring for VoC can be a powerful tool in informing public health responses, including monitoring trends independent of clinical surveillance and providing early warning to communities.
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Affiliation(s)
- Shelley W Peterson
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Ravinder Lidder
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Jade Daigle
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Quinn Wonitowy
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Codey Dueck
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Audra Nagasawa
- Centre for Population Health Data, Statistics Canada, Ottawa, Ontario, Canada
| | - Michael R Mulvey
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada; Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba. 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - Chand S Mangat
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada; Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba. 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.
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Peterson SW, Lidder R, Daigle J, Wonitowy Q, Dueck C, Nagasawa A, Mulvey MR, Mangat CS. RT-qPCR detection of SARS-CoV-2 mutations S 69-70 del, S N501Y and N D3L associated with variants of concern in Canadian wastewater samples. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 810:151283. [PMID: 34756912 PMCID: PMC8552806 DOI: 10.1016/j.scitotenv.2021.151283] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/21/2021] [Accepted: 10/23/2021] [Indexed: 05/02/2023]
Abstract
SARS-CoV-2 variants of concern (VoC) have been increasingly detected in clinical surveillance in Canada and internationally. These VoC are associated with higher transmissibility rates and in some cases, increased mortality. In this work we present a national wastewater survey of the distribution of three SARS-CoV-2 mutations found in the B.1.1.7 (alpha), B.1.351 (beta), and P.1 (gamma) VoC, namely the S-gene 69-70 deletion, N501Y mutation, and N-gene D3L. RT-qPCR allelic discrimination assays were sufficiently sensitive and specific for detection and relative quantitation of SARS-CoV-2 variants in wastewater to allow for rapid population-level screening and surveillance. We tested 261 samples collected from 5 Canadian cities (Vancouver, Edmonton, Toronto, Montreal, and Halifax) and 6 communities in the Northwest Territories from February 16th to March 28th, 2021. VoC were not detected in the Territorial communities, suggesting the absence of VoC SARS-CoV-2 cases in those communities. Percentage of variant remained low throughout the study period in the majority of the sites tested, however the Toronto sites showed a marked increase from ~25% to ~75% over the study period. The results of this study highlight the utility of population level molecular surveillance of SARS-CoV-2 VoC using wastewater. Wastewater monitoring for VoC can be a powerful tool in informing public health responses, including monitoring trends independent of clinical surveillance and providing early warning to communities.
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Affiliation(s)
- Shelley W Peterson
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Ravinder Lidder
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Jade Daigle
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Quinn Wonitowy
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Codey Dueck
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Audra Nagasawa
- Centre for Population Health Data, Statistics Canada, Ottawa, Ontario, Canada
| | - Michael R Mulvey
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada; Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba. 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada
| | - Chand S Mangat
- Wastewater Surveillance, One-Health Division, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada; Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba. 727 McDermot Avenue, Winnipeg, Manitoba R3E 3P5, Canada.
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Ho J, Stange C, Suhrborg R, Wurzbacher C, Drewes JE, Tiehm A. SARS-CoV-2 wastewater surveillance in Germany: Long-term RT-digital droplet PCR monitoring, suitability of primer/probe combinations and biomarker stability. WATER RESEARCH 2022; 210:117977. [PMID: 34968879 DOI: 10.1101/2021.09.16.21263575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/16/2021] [Accepted: 12/11/2021] [Indexed: 05/26/2023]
Abstract
In recent months, wastewater-based epidemiology (WBE) has been shown to be an important tool for early detection of SARS-CoV-2 circulation in the population. In this study, a detection methodology for SARS-CoV-2 RNA (wildtype and variants of concern) in wastewater was developed based on the detection of different target genes (E and ORF1ab) by polyethylene glycol (PEG) precipitation and digital droplet PCR. This methodology was used to determine the SARS-CoV-2 concentration and the proportion of N501Y mutation in raw sewage of the wastewater treatment plant of the city of Karlsruhe in south-western Germany over a period of 1 year (June 2020 to July 2021). Comparison of SARS-CoV-2 concentrations with reported COVID-19 cases in the catchment area showed a significant correlation. As the clinical SARS-CoV-2 official case report chain takes time, viral RNA titre trends appeared more than 12 days earlier than clinical data, demonstrating the potential of wastewater-based epidemiology as an early warning system. Parallel PCR analysis using seven primer and probe systems revealed similar gene copy numbers with E, ORF, RdRP2 and NSP9 assays. RdPP1 and NSP3 generally resulted in lower copy numbers, and in particular for N1 there was low correlation with the other assays. The occurrence of the N501Y mutation in the wastewater of Karlsruhe was consistent with the occurrence of the alpha-variant (B.1.1.7) in the corresponding individual clinical tests. In batch experiments SARS-CoV-2 RNA was stable for several days under anaerobic conditions, but the copy numbers decreased rapidly in the presence of dissolved oxygen. Overall, this study shows that wastewater-based epidemiology is a sensitive and robust approach to detect trends in the spread of SARS-CoV-2 at an early stage, contributing to successful pandemic management.
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Affiliation(s)
- Johannes Ho
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Claudia Stange
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Rabea Suhrborg
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Christian Wurzbacher
- Technical University of Munich, Chair of Urban Water Systems Engineering, Am Coulombwall 3, 85748 Garching, Germany
| | - Jörg E Drewes
- Technical University of Munich, Chair of Urban Water Systems Engineering, Am Coulombwall 3, 85748 Garching, Germany
| | - Andreas Tiehm
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany.
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Ho J, Stange C, Suhrborg R, Wurzbacher C, Drewes JE, Tiehm A. SARS-CoV-2 wastewater surveillance in Germany: Long-term RT-digital droplet PCR monitoring, suitability of primer/probe combinations and biomarker stability. WATER RESEARCH 2022; 210:117977. [PMID: 34968879 PMCID: PMC8684593 DOI: 10.1016/j.watres.2021.117977] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/16/2021] [Accepted: 12/11/2021] [Indexed: 05/18/2023]
Abstract
In recent months, wastewater-based epidemiology (WBE) has been shown to be an important tool for early detection of SARS-CoV-2 circulation in the population. In this study, a detection methodology for SARS-CoV-2 RNA (wildtype and variants of concern) in wastewater was developed based on the detection of different target genes (E and ORF1ab) by polyethylene glycol (PEG) precipitation and digital droplet PCR. This methodology was used to determine the SARS-CoV-2 concentration and the proportion of N501Y mutation in raw sewage of the wastewater treatment plant of the city of Karlsruhe in south-western Germany over a period of 1 year (June 2020 to July 2021). Comparison of SARS-CoV-2 concentrations with reported COVID-19 cases in the catchment area showed a significant correlation. As the clinical SARS-CoV-2 official case report chain takes time, viral RNA titre trends appeared more than 12 days earlier than clinical data, demonstrating the potential of wastewater-based epidemiology as an early warning system. Parallel PCR analysis using seven primer and probe systems revealed similar gene copy numbers with E, ORF, RdRP2 and NSP9 assays. RdPP1 and NSP3 generally resulted in lower copy numbers, and in particular for N1 there was low correlation with the other assays. The occurrence of the N501Y mutation in the wastewater of Karlsruhe was consistent with the occurrence of the alpha-variant (B.1.1.7) in the corresponding individual clinical tests. In batch experiments SARS-CoV-2 RNA was stable for several days under anaerobic conditions, but the copy numbers decreased rapidly in the presence of dissolved oxygen. Overall, this study shows that wastewater-based epidemiology is a sensitive and robust approach to detect trends in the spread of SARS-CoV-2 at an early stage, contributing to successful pandemic management.
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Affiliation(s)
- Johannes Ho
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Claudia Stange
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Rabea Suhrborg
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany
| | - Christian Wurzbacher
- Technical University of Munich, Chair of Urban Water Systems Engineering, Am Coulombwall 3, 85748 Garching, Germany
| | - Jörg E Drewes
- Technical University of Munich, Chair of Urban Water Systems Engineering, Am Coulombwall 3, 85748 Garching, Germany
| | - Andreas Tiehm
- TZW: DVGW-Technologiezentrum Wasser, Department of Water Microbiology, Karlsruher Straße 84, 76139 Karlsruhe, Germany.
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Gwenzi W. Wastewater, waste, and water-based epidemiology (WWW-BE): A novel hypothesis and decision-support tool to unravel COVID-19 in low-income settings? THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150680. [PMID: 34599955 PMCID: PMC8481624 DOI: 10.1016/j.scitotenv.2021.150680] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/22/2021] [Accepted: 09/26/2021] [Indexed: 05/02/2023]
Abstract
Traditional wastewater-based epidemiology (W-BE) relying on SARS-CoV-2 RNA detection in wastewater is attractive for understanding COVID-19. Yet traditional W-BE based on centralized wastewaters excludes putative SARS-CoV-2 reservoirs such as: (i) wastewaters from shared on-site sanitation facilities, (ii) solid waste including faecal sludge from non-flushing on-site sanitation systems, and COVID-19 personal protective equipment (PPE), (iii) raw/untreated water, and (iv) drinking water supply systems in low-income countries (LICs). A novel hypothesis and decision-support tool based on Wastewater (on-site sanitation, municipal sewer systems), solid Waste, and raw/untreated and drinking Water-based epidemiology (WWW-BE) is proposed for understanding COVID-19 in LICs. The WWW-BE conceptual framework, including components and principles is presented. Evidence on the presence of SARS-CoV-2 and its proxies in wastewaters, solid materials/waste (papers, metals, fabric, plastics), and raw/untreated surface water, groundwater and drinking water is discussed. Taken together, wastewaters from municipal sewer and on-site sanitation systems, solid waste such as faecal sludge and COVID-19 PPE, raw/untreated surface water and groundwater, and drinking water systems in LICs act as potential reservoirs that receive and harbour SARS-CoV-2, and then transmit it to humans. Hence, WWW-BE could serve a dual function in estimating the prevalence and potential transmission of COVID-19. Several applications of WWW-BE as a hypothesis and decision support tool in LICs are discussed. WWW-BE aggregates data from various infected persons in a spatial unit, hence, putatively requires less resources (analytical kits, personnel) than individual diagnostic testing, making it an ideal decision-support tool for LICs. The novelty, and a critique of WWW-BE versus traditional W-BE are presented. Potential challenges of WWW-BE include: (i) biohazards and biosafety risks, (ii) lack of expertise, analytical equipment, and accredited laboratories, and (iii) high uncertainties in estimates of COVID-19 cases. Future perspectives and research directions including key knowledge gaps and the application of novel and emerging technologies in WWW-BE are discussed.
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Affiliation(s)
- Willis Gwenzi
- Biosystems and Environmental Engineering Research Group, Department of Agricultural and Biosystems Engineering, Faculty of Agriculture, Environment and Food Systems, University of Zimbabwe, P. O. Box MP 167, Mount Pleasant, Harare, Zimbabwe.
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Ahmed W, Simpson SL, Bertsch PM, Bibby K, Bivins A, Blackall LL, Bofill-Mas S, Bosch A, Brandão J, Choi PM, Ciesielski M, Donner E, D'Souza N, Farnleitner AH, Gerrity D, Gonzalez R, Griffith JF, Gyawali P, Haas CN, Hamilton KA, Hapuarachchi HC, Harwood VJ, Haque R, Jackson G, Khan SJ, Khan W, Kitajima M, Korajkic A, La Rosa G, Layton BA, Lipp E, McLellan SL, McMinn B, Medema G, Metcalfe S, Meijer WG, Mueller JF, Murphy H, Naughton CC, Noble RT, Payyappat S, Petterson S, Pitkänen T, Rajal VB, Reyneke B, Roman FA, Rose JB, Rusiñol M, Sadowsky MJ, Sala-Comorera L, Setoh YX, Sherchan SP, Sirikanchana K, Smith W, Steele JA, Sabburg R, Symonds EM, Thai P, Thomas KV, Tynan J, Toze S, Thompson J, Whiteley AS, Wong JCC, Sano D, Wuertz S, Xagoraraki I, Zhang Q, Zimmer-Faust AG, Shanks OC. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022. [PMID: 34818780 DOI: 10.20944/preprints202104.0481.v1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia.
| | | | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Linda L Blackall
- School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Sílvia Bofill-Mas
- Laboratory of Virus Contaminants of Water and Food, Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - João Brandão
- Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge, Lisboa, Portugal
| | - Phil M Choi
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia; The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Mark Ciesielski
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Erica Donner
- Future Industries Institute, University of South Australia, University Boulevard, Mawson Lakes, SA 5095, Australia
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental & Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostic, 166/5/3, Technische Universität Wien, Vienna, Austria; Research Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straβe 30, 3500 Krems an der Donau, Austria
| | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Pradip Gyawali
- Institute of Environmental Science and Research Ltd (ESR), Porirua 5240, New Zealand
| | | | - Kerry A Hamilton
- School of Sustainable Engineering and the Built Environment and The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Rehnuma Haque
- Environmental Interventions Unit, Icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka 1212, Bangladesh
| | - Greg Jackson
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia
| | - Stuart J Khan
- Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, NSW 2052, Australia
| | - Wesaal Khan
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Asja Korajkic
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Blythe A Layton
- Department of Research & Innovation, Clean Water Services, Hillsboro, OR, USA
| | - Erin Lipp
- Environmental Health Sciences Department, University of Georgia, Athens, GA 30602, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, WI, USA
| | - Brian McMinn
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Jochen F Mueller
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Heather Murphy
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Coleen C Naughton
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Rachel T Noble
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Sudhi Payyappat
- Sydney Water, 1 Smith Street, Parramatta, NSW 2150, Australia
| | - Susan Petterson
- Water and Health Pty Ltd., 13 Lord St, North Sydney, NSW 2060, Australia; School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, P.O. Box 95, FI-70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, FI-00014, Finland
| | - Veronica B Rajal
- Facultad de Ingeniería and Instituto de Investigaciones para la Industria Química (INIQUI) - CONICET and Universidad Nacional de Salta, Av. Bolivia 5150, Salta, Argentina
| | - Brandon Reyneke
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Fernando A Roman
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Michael J Sadowsky
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Yin Xiang Setoh
- Environmental Health Institute, National Environment Agency, Singapore
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, 54 Kampangpetch 6 Road, Laksi, Bangkok 10210, Thailand
| | - Wendy Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Rosalie Sabburg
- CSIRO Agriculture and Food, Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Erin M Symonds
- College of Marine Science, University of South Florida, St. Petersburg, FL, USA
| | - Phong Thai
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Kevin V Thomas
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Josh Tynan
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Simon Toze
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Janelle Thompson
- Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551
| | | | | | - Daisuke Sano
- Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-Ku, Sendai, Miyagi 980-8597, Japan
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Qian Zhang
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | | | - Orin C Shanks
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
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Ahmed W, Simpson SL, Bertsch PM, Bibby K, Bivins A, Blackall LL, Bofill-Mas S, Bosch A, Brandão J, Choi PM, Ciesielski M, Donner E, D'Souza N, Farnleitner AH, Gerrity D, Gonzalez R, Griffith JF, Gyawali P, Haas CN, Hamilton KA, Hapuarachchi HC, Harwood VJ, Haque R, Jackson G, Khan SJ, Khan W, Kitajima M, Korajkic A, La Rosa G, Layton BA, Lipp E, McLellan SL, McMinn B, Medema G, Metcalfe S, Meijer WG, Mueller JF, Murphy H, Naughton CC, Noble RT, Payyappat S, Petterson S, Pitkänen T, Rajal VB, Reyneke B, Roman FA, Rose JB, Rusiñol M, Sadowsky MJ, Sala-Comorera L, Setoh YX, Sherchan SP, Sirikanchana K, Smith W, Steele JA, Sabburg R, Symonds EM, Thai P, Thomas KV, Tynan J, Toze S, Thompson J, Whiteley AS, Wong JCC, Sano D, Wuertz S, Xagoraraki I, Zhang Q, Zimmer-Faust AG, Shanks OC. Minimizing errors in RT-PCR detection and quantification of SARS-CoV-2 RNA for wastewater surveillance. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 805:149877. [PMID: 34818780 PMCID: PMC8386095 DOI: 10.1016/j.scitotenv.2021.149877] [Citation(s) in RCA: 123] [Impact Index Per Article: 61.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/20/2021] [Accepted: 08/20/2021] [Indexed: 05/18/2023]
Abstract
Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia.
| | | | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Linda L Blackall
- School of BioSciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Sílvia Bofill-Mas
- Laboratory of Virus Contaminants of Water and Food, Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, 08028 Barcelona, Spain
| | - Albert Bosch
- Enteric Virus Laboratory, Department of Genetics, Microbiology and Statistics, University of Barcelona, Avda. Diagonal 643, 08028 Barcelona, Spain
| | - João Brandão
- Department of Environmental Health, National Institute of Health Dr. Ricardo Jorge, Lisboa, Portugal
| | - Phil M Choi
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia; The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Mark Ciesielski
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Erica Donner
- Future Industries Institute, University of South Australia, University Boulevard, Mawson Lakes, SA 5095, Australia
| | - Nishita D'Souza
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Andreas H Farnleitner
- Institute of Chemical, Environmental & Bioscience Engineering, Research Group Environmental Microbiology and Molecular Diagnostic, 166/5/3, Technische Universität Wien, Vienna, Austria; Research Division Water Quality and Health, Department Pharmacology, Physiology and Microbiology, Karl Landsteiner University of Health Sciences, Dr. Karl-Dorrek-Straβe 30, 3500 Krems an der Donau, Austria
| | - Daniel Gerrity
- Southern Nevada Water Authority, P.O. Box 99954, Las Vegas, NV 89193, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - John F Griffith
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Pradip Gyawali
- Institute of Environmental Science and Research Ltd (ESR), Porirua 5240, New Zealand
| | | | - Kerry A Hamilton
- School of Sustainable Engineering and the Built Environment and The Biodesign Institute Center for Environmental Health Engineering, Arizona State University, Tempe, AZ 85287, USA
| | | | - Valerie J Harwood
- Department of Integrative Biology, University of South Florida, Tampa, FL, USA
| | - Rehnuma Haque
- Environmental Interventions Unit, Icddr,b, 68 Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka 1212, Bangladesh
| | - Greg Jackson
- Water Unit, Health Protection Branch, Prevention Division, Queensland Health, QLD, Australia
| | - Stuart J Khan
- Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, NSW 2052, Australia
| | - Wesaal Khan
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Masaaki Kitajima
- Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan
| | - Asja Korajkic
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Rome, Italy
| | - Blythe A Layton
- Department of Research & Innovation, Clean Water Services, Hillsboro, OR, USA
| | - Erin Lipp
- Environmental Health Sciences Department, University of Georgia, Athens, GA 30602, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, WI, USA
| | - Brian McMinn
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
| | - Gertjan Medema
- KWR Water Research Institute, Groningenhaven 7, 3433 PE Nieuwegein, the Netherlands
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wim G Meijer
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Jochen F Mueller
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Heather Murphy
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Coleen C Naughton
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Rachel T Noble
- University of North Carolina at Chapel Hill, Institute of Marine Sciences, Morehead City, NC, United States
| | - Sudhi Payyappat
- Sydney Water, 1 Smith Street, Parramatta, NSW 2150, Australia
| | - Susan Petterson
- Water and Health Pty Ltd., 13 Lord St, North Sydney, NSW 2060, Australia; School of Medicine, Griffith University, Parklands Drive, Gold Coast, Australia
| | - Tarja Pitkänen
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, P.O. Box 95, FI-70701 Kuopio, Finland; University of Helsinki, Faculty of Veterinary Medicine, Department of Food Hygiene and Environmental Health, P.O. Box 66, FI-00014, Finland
| | - Veronica B Rajal
- Facultad de Ingeniería and Instituto de Investigaciones para la Industria Química (INIQUI) - CONICET and Universidad Nacional de Salta, Av. Bolivia 5150, Salta, Argentina
| | - Brandon Reyneke
- Department of Microbiology, Faculty of Science, Stellenbosch University, Private Bag X1, Stellenbosch 7602, South Africa
| | - Fernando A Roman
- University of California Merced, Department of Civil and Environmental Engineering, 5200 N. Lake Rd., Merced, CA 95343, USA
| | - Joan B Rose
- Department of Fisheries and Wildlife, Michigan State University, E. Lansing, MI, USA
| | - Marta Rusiñol
- Institute of Environmental Assessment & Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Michael J Sadowsky
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | - Laura Sala-Comorera
- UCD School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Yin Xiang Setoh
- Environmental Health Institute, National Environment Agency, Singapore
| | - Samendra P Sherchan
- Department of Environmental Health Sciences, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA
| | - Kwanrawee Sirikanchana
- Research Laboratory of Biotechnology, Chulabhorn Research Institute, 54 Kampangpetch 6 Road, Laksi, Bangkok 10210, Thailand
| | - Wendy Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Joshua A Steele
- Southern California Coastal Water Research Project, Costa Mesa, CA 92626, USA
| | - Rosalie Sabburg
- CSIRO Agriculture and Food, Bioscience Precinct, St Lucia, QLD 4067, Australia
| | - Erin M Symonds
- College of Marine Science, University of South Florida, St. Petersburg, FL, USA
| | - Phong Thai
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Kevin V Thomas
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Josh Tynan
- The University of Queensland, Queensland Alliance for Environmental Health Sciences, QLD, Australia
| | - Simon Toze
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Janelle Thompson
- Asian School of the Environment, Nanyang Technological University, Singapore 639798, Singapore; Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551
| | | | | | - Daisuke Sano
- Department of Civil and Environmental Engineering, Graduate School of Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-Ku, Sendai, Miyagi 980-8597, Japan
| | - Stefan Wuertz
- Singapore Centre for Environmental Life Sciences Engineering (SCELSE) Singapore 637551; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI 48824, USA
| | - Qian Zhang
- Biotechnology Institute and Department of Soil, Water, and Climate, University of Minnesota, St. Paul, MN, USA
| | | | - Orin C Shanks
- United States Environmental Protection Agency, Office of Research and Development, 26W Martin Luther King Jr. Drive, Cincinnati, OH 45268, USA
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50
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Sun Y, Huang Y, Qi T, Jin Q, Jia C, Zhao J, Feng S, Liang L. Wet-Etched Microchamber Array Digital PCR Chip for SARS-CoV-2 Virus and Ultra-Early Stage Lung Cancer Quantitative Detection. ACS OMEGA 2022; 7:1819-1826. [PMID: 35036821 PMCID: PMC8751011 DOI: 10.1021/acsomega.1c05082] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/22/2021] [Indexed: 05/02/2023]
Abstract
We report a novel design of chamber-based digital polymerase chain reaction (cdPCR) chip structure. Using a wet etching process and silicon-glass bonding, the chamber size can be adjusted independently of the process and more feasibly in a normal lab. In addition, the structure of the chip is optimized through hydrodynamic computer simulations to eliminate dead space when the sample is injected into the chip. The samples will be distributed to each separated microchambers for an isolated reaction based on Poisson distribution. Due to the difference in expansion coefficients, isolation of the sample in the microchambers by the oil phase on top ensures homogeneity and independence of the sample in the microchambers. The prepared microarray cdPCR chip enables high-throughput and high-sensitivity quantitative measurement of the SARS-CoV-2 virus gene and the mutant lung cancer gene. We applied the chip for the detection of different concentrations of the mix containing the open reading frame 1ab (ORF1ab) gene, the most specific and conservative gene region of the SARS-CoV-2 virus. In addition to this, we also successfully detected the fluorescence of the epidermal growth factor receptor (EGFR) mutant gene in independent microchambers. At a throughput of 46 200 microchambers, solution mixtures containing both genes were successfully tested quantitatively, with a detection limit of 10 copies/μL. Importantly, the chips are individually inexpensive and easy to industrialize. In addition, the microarray can provide a unified solution for other viral sequences, cancer marker assay development, and point-of-care testing (POCT).
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Affiliation(s)
- Yimeng Sun
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
- Center
of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaru Huang
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
- School
of Life Sciences, Shanghai Normal University, Shanghai 200235, China
| | - Tong Qi
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
| | - Qinghui Jin
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
- Faculty
of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
| | - Chunping Jia
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
| | - Jianlong Zhao
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
- Center
of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shilun Feng
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
| | - Lijuan Liang
- State
Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy
of Sciences, Shanghai 200050, China
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