51
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Fahrenfeld NL, Morales Medina WR, D'Elia S, Deshpande AS, Ehasz G. Year-long wastewater monitoring for SARS-CoV-2 signals in combined and separate sanitary sewers. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2022; 94:e10768. [PMID: 35918060 PMCID: PMC9350404 DOI: 10.1002/wer.10768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/07/2022] [Accepted: 07/01/2022] [Indexed: 05/14/2023]
Abstract
COVID-19 wastewater-based epidemiology has been performed in catchments of various sizes and sewer types with many short-term studies available and multi-seasonal studies emerging. The objective of this study was to compare weekly observations of SARS-CoV-2 genes in municipal wastewater across multiple seasons for different systems as a factor of sewer type (combined, separate sanitary) and system size. Sampling occurred following the first wave of SARS-CoV-2 cases in the study region (June 2020) and continued through the third wave (May 2021), the period during which clinical testing was widely available and different variants dominated clinical cases. The strongest correlations were observed between wastewater N1 concentrations and the cumulative clinical cases reported in the 2 weeks prior to wastewater sampling, followed by the week prior, new cases, and the week after wastewater sampling. Sewer type and size did not necessarily explain the strength of the correlations, indicating that other non-sewer factors may be impacting the observations. In-system sampling results for the largest system sampled are presented for 1 month. Removing wet weather days from the data sets improved even the flow-normalized correlations for the systems, potentially indicating that interpreting results during wet weather events may be more complicated than simply accounting for dilution. PRACTITIONER POINTS: SARS-CoV-2 in wastewater correlated best with total clinical cases reported in 2 weeks before wastewater sampling at the utility level. Study performed when clinical testing was widespread during the year after the first COVID-19 wave in the region. Sewer type and size did not necessarily explain correlation strength between clinical cases and wastewater-based epidemiology results. Removing wet weather days improved correlations for 3/4 utilities studied, including both separate sanitary and combined sewers.
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Affiliation(s)
- Nicole L. Fahrenfeld
- Department of Civil and Environmental EngineeringRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - William R. Morales Medina
- Department of Microbiology and Molecular GeneticsRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
- Present address:
American WaterDelranNew JerseyUSA
| | - Stephanie D'Elia
- Department of Biochemistry and MicrobiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Aishwarya S. Deshpande
- Department of Biochemistry and MicrobiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Genevieve Ehasz
- Department of Civil and Environmental EngineeringRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
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52
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Fahrenfeld NL, Morales Medina WR, D'Elia S, Deshpande AS, Ehasz G. Year-long wastewater monitoring for SARS-CoV-2 signals in combined and separate sanitary sewers. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2022; 94:e10768. [PMID: 35918060 DOI: 10.1021/acsestwater.1c00345] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/07/2022] [Accepted: 07/01/2022] [Indexed: 05/27/2023]
Abstract
COVID-19 wastewater-based epidemiology has been performed in catchments of various sizes and sewer types with many short-term studies available and multi-seasonal studies emerging. The objective of this study was to compare weekly observations of SARS-CoV-2 genes in municipal wastewater across multiple seasons for different systems as a factor of sewer type (combined, separate sanitary) and system size. Sampling occurred following the first wave of SARS-CoV-2 cases in the study region (June 2020) and continued through the third wave (May 2021), the period during which clinical testing was widely available and different variants dominated clinical cases. The strongest correlations were observed between wastewater N1 concentrations and the cumulative clinical cases reported in the 2 weeks prior to wastewater sampling, followed by the week prior, new cases, and the week after wastewater sampling. Sewer type and size did not necessarily explain the strength of the correlations, indicating that other non-sewer factors may be impacting the observations. In-system sampling results for the largest system sampled are presented for 1 month. Removing wet weather days from the data sets improved even the flow-normalized correlations for the systems, potentially indicating that interpreting results during wet weather events may be more complicated than simply accounting for dilution. PRACTITIONER POINTS: SARS-CoV-2 in wastewater correlated best with total clinical cases reported in 2 weeks before wastewater sampling at the utility level. Study performed when clinical testing was widespread during the year after the first COVID-19 wave in the region. Sewer type and size did not necessarily explain correlation strength between clinical cases and wastewater-based epidemiology results. Removing wet weather days improved correlations for 3/4 utilities studied, including both separate sanitary and combined sewers.
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Affiliation(s)
- Nicole L Fahrenfeld
- Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - William R Morales Medina
- Department of Microbiology and Molecular Genetics, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - Stephanie D'Elia
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - Aishwarya S Deshpande
- Department of Biochemistry and Microbiology, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
| | - Genevieve Ehasz
- Department of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA
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53
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Soller J, Jennings W, Schoen M, Boehm A, Wigginton K, Gonzalez R, Graham KE, McBride G, Kirby A, Mattioli M. Modeling infection from SARS-CoV-2 wastewater concentrations: promise, limitations, and future directions. JOURNAL OF WATER AND HEALTH 2022; 20:1197-1211. [PMID: 36044189 PMCID: PMC10911093 DOI: 10.2166/wh.2022.094] [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] [Indexed: 06/15/2023]
Abstract
Estimating total infection levels, including unreported and asymptomatic infections, is important for understanding community disease transmission. Wastewater can provide a pooled community sample to estimate total infections that is independent of case reporting biases toward individuals with moderate to severe symptoms and by test-seeking behavior and access. We derive three mechanistic models for estimating community infection levels from wastewater measurements based on a description of the processes that generate SARS-CoV-2 RNA signals in wastewater and accounting for the fecal strength of wastewater through endogenous microbial markers, daily flow, and per-capita wastewater generation estimates. The models are illustrated through two case studies of wastewater data collected during 2020-2021 in Virginia Beach, VA, and Santa Clara County, CA. Median simulated infection levels generally were higher than reported cases, but at times, were lower, suggesting a discrepancy between the reported cases and wastewater data, or inaccurate modeling results. Daily simulated infection estimates showed large ranges, in part due to dependence on highly variable clinical viral fecal shedding data. Overall, the wastewater-based mechanistic models are useful for normalization of wastewater measurements and for understanding wastewater-based surveillance data for public health decision-making but are currently limited by lack of robust SARS-CoV-2 fecal shedding data.
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Affiliation(s)
- Jeffrey Soller
- Soller Environmental, LLC, 3022 King St, Berkeley, CA 94703, USA
| | - Wiley Jennings
- Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail:
| | - Mary Schoen
- Soller Environmental, LLC, 3022 King St, Berkeley, CA 94703, USA
| | - Alexandria Boehm
- Stanford University Department of Civil and Environmental Engineering, Stanford, California, USA
| | - Krista Wigginton
- Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor 48109, Michigan, USA
| | - Raul Gonzalez
- Hampton Roads Sanitation District, 1434 Air Rail Avenue, Virginia Beach, VA 23455, USA
| | - Katherine E Graham
- Stanford University Department of Civil and Environmental Engineering, Stanford, California, USA
| | - Graham McBride
- National Institute of Water & Atmospheric Research Ltd (NIWA), Hillcrest, Hamilton, New Zealand
| | - Amy Kirby
- Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail:
| | - Mia Mattioli
- Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA E-mail:
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54
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Phan T, Brozak S, Pell B, Gitter A, Mena KD, Kuang Y, Wu F. A simple SEIR-V model to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission using wastewater-based surveillance data. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.07.17.22277721. [PMID: 35898336 PMCID: PMC9327624 DOI: 10.1101/2022.07.17.22277721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Wastewater-based surveillance (WBS) has been widely used as a public health tool to monitor SARS-CoV-2 transmission. However, epidemiological inference from WBS data remains understudied and limits its application. In this study, we have established a quantitative framework to estimate COVID-19 prevalence and predict SARS-CoV-2 transmission through integrating WBS data into an SEIR-V model. We conceptually divide the individual-level viral shedding course into exposed, infectious, and recovery phases as an analogy to the compartments in population-level SEIR model. We demonstrated that the temperature effect on viral losses in the sewer can be straightforwardly incorporated in our framework. Using WBS data from the second wave of the pandemic (Oct 02, 2020 â€" Jan 25, 2021) in the Great Boston area, we showed that the SEIR-V model successfully recapitulates the temporal dynamics of viral load in wastewater and predicts the true number of cases peaked earlier and higher than the number of reported cases by 16 days and 8.6 folds ( R = 0.93), respectively. This work showcases a simple, yet effective method to bridge WBS and quantitative epidemiological modeling to estimate the prevalence and transmission of SARS-CoV-2 in the sewershed, which could facilitate the application of wastewater surveillance of infectious diseases for epidemiological inference and inform public health actions.
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Affiliation(s)
- Tin Phan
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, New Mexico, USA
| | - Samantha Brozak
- School of Mathematical and Statistical Sciences, Arizona State University, Arizona, USA
| | - Bruce Pell
- Department of Mathematics and Computer Science, Lawrence Technological University, MI, USA
| | - Anna Gitter
- The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, USA 77030
| | - Kristina D. Mena
- The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, USA 77030
| | - Yang Kuang
- School of Mathematical and Statistical Sciences, Arizona State University, Arizona, USA
| | - Fuqing Wu
- The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, USA 77030
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55
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Li J, Ahmed W, Metcalfe S, Smith WJM, Tscharke B, Lynch P, Sherman P, Vo PHN, Kaserzon SL, Simpson SL, McCarthy DT, Thomas KV, Mueller JF, Thai P. Monitoring of SARS-CoV-2 in sewersheds with low COVID-19 cases using a passive sampling technique. WATER RESEARCH 2022; 218:118481. [PMID: 35477063 PMCID: PMC9020515 DOI: 10.1016/j.watres.2022.118481] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 04/14/2022] [Accepted: 04/18/2022] [Indexed: 05/24/2023]
Abstract
Monitoring SARS-CoV-2 RNA in sewer systems, upstream of a wastewater treatment plant, is an effective approach for understanding potential COVID-19 transmission in communities with higher spatial resolutions. Passive sampling devices provide a practical solution for frequent sampling within sewer networks where the use of autosamplers is not feasible. Currently, the design of upstream sampling is impeded by limited understanding of the fate of SARS-CoV-2 RNA in sewers and the sensitivity of passive samplers for the number of infected individuals in a catchment. In this study, passive samplers containing electronegative membranes were applied for at least 24-h continuous sampling in sewer systems. When monitoring SARS-CoV-2 along a trunk sewer pipe, we found RNA signals decreased proportionally to increasing dilutions, with non-detects occurring at the end of pipe. The passive sampling membranes were able to detect SARS-CoV-2 shed by >2 COVID-19 infection cases in 10,000 people. Moreover, upstream monitoring in multiple sewersheds using passive samplers identified the emergence of SARS-CoV-2 in wastewater one week ahead of clinical reporting and reflected the spatiotemporal spread of a COVID-19 cluster within a city. This study provides important information to guide the development of wastewater surveillance strategies at catchment and subcatchment levels using different sampling techniques.
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Affiliation(s)
- Jiaying Li
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia.
| | - Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Suzanne Metcalfe
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Wendy J M Smith
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Ben Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Peter Lynch
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Paul Sherman
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Phong H N Vo
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Sarit L Kaserzon
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | | | - David T McCarthy
- Department of Civil Engineering, Environmental and Public Health Microbiology Lab (EPHM Lab), Monash University, Victoria, Clayton 3800, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Phong Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
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56
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Proverbio D, Kemp F, Magni S, Ogorzaly L, Cauchie HM, Gonçalves J, Skupin A, Aalto A. Model-based assessment of COVID-19 epidemic dynamics by wastewater analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 827:154235. [PMID: 35245552 PMCID: PMC8886713 DOI: 10.1016/j.scitotenv.2022.154235] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 04/14/2023]
Abstract
Continuous surveillance of COVID-19 diffusion remains crucial to control its diffusion and to anticipate infection waves. Detecting viral RNA load in wastewater samples has been suggested as an effective approach for epidemic monitoring and the development of an effective warning system. However, its quantitative link to the epidemic status and the stages of outbreak is still elusive. Modelling is thus crucial to address these challenges. In this study, we present a novel mechanistic model-based approach to reconstruct the complete epidemic dynamics from SARS-CoV-2 viral load in wastewater. Our approach integrates noisy wastewater data and daily case numbers into a dynamical epidemiological model. As demonstrated for various regions and sampling protocols, it quantifies the case numbers, provides epidemic indicators and accurately infers future epidemic trends. Following its quantitative analysis, we also provide recommendations for wastewater data standards and for their use as warning indicators against new infection waves. In situations of reduced testing capacity, our modelling approach can enhance the surveillance of wastewater for early epidemic prediction and robust and cost-effective real-time monitoring of local COVID-19 dynamics.
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Affiliation(s)
- Daniele Proverbio
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg
| | - Françoise Kemp
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg
| | - Stefano Magni
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg
| | - Leslie Ogorzaly
- Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department, Belvaux 4422, Luxembourg
| | - Henry-Michel Cauchie
- Luxembourg Institute of Science and Technology, Environmental Research and Innovation Department, Belvaux 4422, Luxembourg
| | - Jorge Gonçalves
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg; University of Cambridge, Department of Plant Sciences, Downing St, Cambridge CB2 3EA, UK
| | - Alexander Skupin
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg; University of Luxembourg, Department of Physics and Materials Science, 162a av. de la Faïencerie, Luxembourg 1511, Luxembourg; University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
| | - Atte Aalto
- University of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 av. du Swing, Belvaux 4376, Luxembourg.
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57
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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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58
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Zdenkova K, Bartackova J, Cermakova E, Demnerova K, Dostalkova A, Janda V, Jarkovsky J, Lopez Marin MA, Novakova Z, Rumlova M, Ambrozova JR, Skodakova K, Swierczkova I, Sykora P, Vejmelkova D, Wanner J, Bartacek J. Monitoring COVID-19 spread in Prague local neighborhoods based on the presence of SARS-CoV-2 RNA in wastewater collected throughout the sewer network. WATER RESEARCH 2022. [PMID: 35358873 DOI: 10.1101/2021.07.28.21261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Many reports have documented that the presence of SARS-CoV-2 RNA in the influents of municipal wastewater treatment plants (WWTP) correlates with the actual epidemic situation in a given city. However, few data have been reported thus far on measurements upstream of WWTPs, i.e. throughout the sewer network. In this study, the monitoring of the presence of SARS-CoV-2 RNA in Prague wastewater was carried out at selected locations of the Prague sewer network from August 2020 through May 2021. Various locations such as residential areas of various sizes, hospitals, city center areas, student dormitories, transportation hubs (airport, bus terminal), and commercial areas were monitored together with four of the main Prague sewers. The presence of SARS-CoV-2 RNA was determined by reverse transcription - multiplex quantitative polymerase chain reaction (RT-mqPCR) after the precipitation of nucleic acids with PEG 8,000 and RNA isolation with TRIzol™ Reagent. The number of copies of the gene encoding SARS-CoV-2 nucleocapsid (N1) per liter of wastewater was compared with the number of officially registered COVID-19 cases in Prague. Although the data obtained by sampling wastewater from the major Prague sewers were more consistent than those obtained from the small sewers, the correlation between wastewater-based and clinical-testing data was also good for the residential areas with more than 7,000 registered inhabitants. It was shown that monitoring SARS-CoV-2 RNA in wastewater sampled from small sewers could identify isolated occurrences of COVID-19-positive cases in local neighborhoods. This can be very valuable while tracking COVID-19 hotspots within large cities.
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Affiliation(s)
- Kamila Zdenkova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia.
| | - Jana Bartackova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Eliska Cermakova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia
| | - Katerina Demnerova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia
| | - Alzbeta Dostalkova
- Department of Biotechnology, University of Chemistry and Technology Prague, Czechia
| | - Vaclav Janda
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jiri Jarkovsky
- Institute of Health Information and Statistics of the Czech Republic, Czechia
| | - Marco Antonio Lopez Marin
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | | | - Michaela Rumlova
- Department of Biotechnology, University of Chemistry and Technology Prague, Czechia
| | - Jana Rihova Ambrozova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Klara Skodakova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | | | - Petr Sykora
- Prazske vodovody a kanalizace, a.s., Czechia
| | - Dana Vejmelkova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jiri Wanner
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jan Bartacek
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
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59
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Gudra D, Dejus S, Bartkevics V, Roga A, Kalnina I, Strods M, Rayan A, Kokina K, Zajakina A, Dumpis U, Ikkere LE, Arhipova I, Berzins G, Erglis A, Binde J, Ansonska E, Berzins A, Juhna T, Fridmanis D. Detection of SARS-CoV-2 RNA in wastewater and importance of population size assessment in smaller cities: An exploratory case study from two municipalities in Latvia. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 823:153775. [PMID: 35151738 PMCID: PMC8830921 DOI: 10.1016/j.scitotenv.2022.153775] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/20/2022] [Accepted: 02/06/2022] [Indexed: 05/05/2023]
Abstract
Wastewater-based epidemiology (WBE) has regained global importance during the COVID-19 pandemic. The mobility of people and other factors, such as precipitation and irregular inflow of industrial wastewater, are complicating the estimation of the disease prevalence through WBE, which is crucial for proper crisis management. These estimations are particularly challenging in urban areas with moderate or low numbers of inhabitants in situations where movement restrictions are not adopted (as in the case of Latvia) because residents of smaller municipalities tend to be more mobile and less strict in following the rules and measures of disease containment. Thus, population movement can influence the outcome of WBE measurements significantly and may not reflect the actual epidemiological situation in the respective area. Here, we demonstrate that by combining the data of detected SARS-CoV-2 RNA copy number, 5-hydroxyindoleacetic acid (5-HIAA) analyses in wastewater and mobile call detail records it was possible to provide an accurate assessment of the COVID-19 epidemiological situation in towns that are small (COVID-19 28-day cumulative incidence r = 0.609 and 35-day cumulative incidence r = 0.89, p < 0.05) and medium-sized towns (COVID-19 21-day cumulative incidence r = 0.997, 28-day cumulative incidence r = 0.98 and 35-day cumulative incidence r = 0.997, p < 0.05). This is the first study demonstrating WBE for monitoring COVID-19 outbreaks in Latvia. We demonstrate that the application of population size estimation measurements such as total 5-HIAA and call detail record data improve the accuracy of the WBE approach.
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Affiliation(s)
- Dita Gudra
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga LV-1067, Latvia
| | - Sandis Dejus
- Riga Technical University, Laboratory of Water Research and Environmental Biotechnology, Kipsalas iela 6a/6b, Riga LV-1048, Latvia
| | - Vadims Bartkevics
- Institute of Food Safety, Animal Health and Environment BIOR, Lejupes iela 3, Riga LV-1067, Latvia.
| | - Ance Roga
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga LV-1067, Latvia
| | - Ineta Kalnina
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga LV-1067, Latvia
| | - Martins Strods
- Riga Technical University, Laboratory of Water Research and Environmental Biotechnology, Kipsalas iela 6a/6b, Riga LV-1048, Latvia
| | - Anton Rayan
- Riga Technical University, Laboratory of Water Research and Environmental Biotechnology, Kipsalas iela 6a/6b, Riga LV-1048, Latvia
| | - Kristina Kokina
- Riga Technical University, Laboratory of Water Research and Environmental Biotechnology, Kipsalas iela 6a/6b, Riga LV-1048, Latvia
| | - Anna Zajakina
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga LV-1067, Latvia
| | - Uga Dumpis
- University of Latvia, Aspazijas bulvaris 5, Riga LV-1050, Latvia
| | - Laura Elina Ikkere
- Institute of Food Safety, Animal Health and Environment BIOR, Lejupes iela 3, Riga LV-1067, Latvia
| | - Irina Arhipova
- Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, Latvia
| | - Gundars Berzins
- University of Latvia, Aspazijas bulvaris 5, Riga LV-1050, Latvia
| | - Aldis Erglis
- University of Latvia, Aspazijas bulvaris 5, Riga LV-1050, Latvia
| | - Juris Binde
- LLC "Latvian Mobile Telephone", Ropazu iela 6, Riga LV-1039, Latvia
| | - Evija Ansonska
- University of Latvia, Aspazijas bulvaris 5, Riga LV-1050, Latvia
| | - Aivars Berzins
- Institute of Food Safety, Animal Health and Environment BIOR, Lejupes iela 3, Riga LV-1067, Latvia
| | - Talis Juhna
- Riga Technical University, Laboratory of Water Research and Environmental Biotechnology, Kipsalas iela 6a/6b, Riga LV-1048, Latvia.
| | - Davids Fridmanis
- Latvian Biomedical Research and Study Centre, Ratsupites iela 1, Riga LV-1067, Latvia.
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Zdenkova K, Bartackova J, Cermakova E, Demnerova K, Dostalkova A, Janda V, Jarkovsky J, Lopez Marin MA, Novakova Z, Rumlova M, Ambrozova JR, Skodakova K, Swierczkova I, Sykora P, Vejmelkova D, Wanner J, Bartacek J. Monitoring COVID-19 spread in Prague local neighborhoods based on the presence of SARS-CoV-2 RNA in wastewater collected throughout the sewer network. WATER RESEARCH 2022; 216:118343. [PMID: 35358873 PMCID: PMC8936391 DOI: 10.1016/j.watres.2022.118343] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 03/08/2022] [Accepted: 03/18/2022] [Indexed: 05/12/2023]
Abstract
Many reports have documented that the presence of SARS-CoV-2 RNA in the influents of municipal wastewater treatment plants (WWTP) correlates with the actual epidemic situation in a given city. However, few data have been reported thus far on measurements upstream of WWTPs, i.e. throughout the sewer network. In this study, the monitoring of the presence of SARS-CoV-2 RNA in Prague wastewater was carried out at selected locations of the Prague sewer network from August 2020 through May 2021. Various locations such as residential areas of various sizes, hospitals, city center areas, student dormitories, transportation hubs (airport, bus terminal), and commercial areas were monitored together with four of the main Prague sewers. The presence of SARS-CoV-2 RNA was determined by reverse transcription - multiplex quantitative polymerase chain reaction (RT-mqPCR) after the precipitation of nucleic acids with PEG 8,000 and RNA isolation with TRIzol™ Reagent. The number of copies of the gene encoding SARS-CoV-2 nucleocapsid (N1) per liter of wastewater was compared with the number of officially registered COVID-19 cases in Prague. Although the data obtained by sampling wastewater from the major Prague sewers were more consistent than those obtained from the small sewers, the correlation between wastewater-based and clinical-testing data was also good for the residential areas with more than 7,000 registered inhabitants. It was shown that monitoring SARS-CoV-2 RNA in wastewater sampled from small sewers could identify isolated occurrences of COVID-19-positive cases in local neighborhoods. This can be very valuable while tracking COVID-19 hotspots within large cities.
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Affiliation(s)
- Kamila Zdenkova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia.
| | - Jana Bartackova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Eliska Cermakova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia
| | - Katerina Demnerova
- Department of Biochemistry and Microbiology, University of Chemistry and Technology Prague, Czechia
| | - Alzbeta Dostalkova
- Department of Biotechnology, University of Chemistry and Technology Prague, Czechia
| | - Vaclav Janda
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jiri Jarkovsky
- Institute of Health Information and Statistics of the Czech Republic, Czechia
| | - Marco Antonio Lopez Marin
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | | | - Michaela Rumlova
- Department of Biotechnology, University of Chemistry and Technology Prague, Czechia
| | - Jana Rihova Ambrozova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Klara Skodakova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | | | - Petr Sykora
- Prazske vodovody a kanalizace, a.s., Czechia
| | - Dana Vejmelkova
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jiri Wanner
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
| | - Jan Bartacek
- Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Czechia
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Wang Y, Liu P, Zhang H, Ibaraki M, VanTassell J, Geith K, Cavallo M, Kann R, Saber L, Kraft CS, Lane M, Shartar S, Moe C. Early warning of a COVID-19 surge on a university campus based on wastewater surveillance for SARS-CoV-2 at residence halls. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 821:153291. [PMID: 35090922 PMCID: PMC8788089 DOI: 10.1016/j.scitotenv.2022.153291] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 01/15/2022] [Accepted: 01/16/2022] [Indexed: 05/05/2023]
Abstract
As COVID-19 continues to spread globally, monitoring the disease at different scales is critical to support public health decision making. Surveillance for SARS-CoV-2 RNA in wastewater can supplement surveillance based on diagnostic testing. In this paper, we report the results of wastewater-based COVID-19 surveillance on Emory University campus that included routine sampling of sewage from a hospital building, an isolation/quarantine building, and 21 student residence halls between July 13th, 2020 and March 14th, 2021. We examined the sensitivity of wastewater surveillance for detecting COVID-19 cases at building level and the relation between Ct values from RT-qPCR results of wastewater samples and the number of COVID-19 patients residing in the building. Our results show that weekly wastewater surveillance using Moore swab samples was not sensitive enough (6 of 63 times) to reliably detect one or two sporadic cases in a residence building. The Ct values of the wastewater samples over time from the same sampling location reflected the temporal trend in the number of COVID-19 patients in the isolation/quarantine building and hospital (Pearson's r < -0.8), but there is too much uncertainty to directly estimate the number of COVID-19 cases using Ct values. After students returned for the spring 2021 semester, SARS-CoV-2 RNA was detected in the wastewater samples from most of the student residence hall monitoring sites one to two weeks before COVID-19 cases surged on campus. This finding suggests that wastewater-based surveillance can be used to provide early warning of COVID-19 outbreaks at institutions.
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Affiliation(s)
- Yuke Wang
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Pengbo Liu
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Haisu Zhang
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Makoto Ibaraki
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jamie VanTassell
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kelly Geith
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Matthew Cavallo
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rebecca Kann
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Lindsay Saber
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Colleen S Kraft
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, USA; Division of Infectious Diseases, Emory University, Atlanta, GA, USA
| | - Morgan Lane
- Division of Infectious Diseases, Emory University, Atlanta, GA, USA
| | - Samuel Shartar
- Emory University Office of Critical Event Preparedness and Response, Atlanta, GA, USA
| | - Christine Moe
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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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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63
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App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden. Nat Commun 2022; 13:2110. [PMID: 35449172 PMCID: PMC9023535 DOI: 10.1038/s41467-022-29608-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 03/24/2022] [Indexed: 11/08/2022] Open
Abstract
The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance. We enrolled 143,531 study participants (≥18 years) who contributed 10.6 million daily symptom reports between April 29, 2020 and February 10, 2021. Here, we include data from 19,161 self-reported PCR tests to create a symptom-based model to estimate the individual probability of symptomatic COVID-19, with an AUC of 0.78 (95% CI 0.74–0.83) in an external dataset. These individual probabilities are employed to estimate daily regional COVID-19 prevalence, which are in turn used together with current hospital data to predict next week COVID-19 hospital admissions. We show that this hospital prediction model demonstrates a lower median absolute percentage error (MdAPE: 25.9%) across the five most populated regions in Sweden during the first pandemic wave than a model based on case notifications (MdAPE: 30.3%). During the second wave, the error rates are similar. When we apply the same model to an English dataset, not including local COVID-19 test data, we observe MdAPEs of 22.3% and 19.0% during the first and second pandemic waves, respectively, highlighting the transferability of the prediction model. The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance using daily symptom reports from study participants. Here, the authors show how syndromic surveillance can be used to estimate regional COVID-19 prevalence and to predict later COVID-19 hospital admissions.
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64
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Phillips MC, Quintero D, Wald-Dickler N, Holtom P, Butler-Wu SM. SARS-CoV-2 cycle threshold (Ct) values predict future COVID-19 cases. J Clin Virol 2022; 150-151:105153. [PMID: 35472751 PMCID: PMC8990441 DOI: 10.1016/j.jcv.2022.105153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 03/31/2022] [Accepted: 04/02/2022] [Indexed: 12/12/2022]
Abstract
Aim Anticipating local surges in COVID-19 cases has predominantly been based on observation of increasing cases. We sought to determine if temporal trends in SARS-CoV-2 Cycle threshold (Ct) values from clinical testing were predictive of future cases. Methods Data were collected from a large, safety-net hospital in Los Angeles, California. Ct values for all SARS-CoV-2 detections by the GeneXpert system (Cepheid) between October 2020 to March 2021 were analyzed. Results A total of 2,114 SARS-CoV-2-positive samples were included. Cases increased dramatically in December 2020, peaking the first week of January, before returning to pre-surge numbers by mid-February. Ct values fell during this same period, with values in December and January (25.6 ± 7.8 and 27±7.9, respectively) significantly lower than those of the other months (30±9.3 to 37.7 ± 6.3). Average weekly Ct values for all patients negatively correlated with the number of tests run two weeks in the future (r= -0.74, p<0.0001), whereas Ct values for asymptomatic patients negatively correlated most strongly with total number of tests performed one month later (r= -0.88, p<0.0001). Predictive modeling using these Ct values correctly predicted whether cases would increase or decrease 65% of the time for a subsequent surge (May-July 2021). Conclusions During the largest COVID-19 surge in Los Angeles to date, we observed significantly lower Ct values (representing higher levels of viral RNA) suggesting that increased transmission of COVID-19 was temporarily associated with higher viral loads. Decreasing Ct values appear to be a leading indicator for predicting future COVID-19 cases, which can facilitate improved hospital-level surge planning.
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65
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Barua VB, Juel MAI, Blackwood AD, Clerkin T, Ciesielski M, Sorinolu AJ, Holcomb DA, Young I, Kimble G, Sypolt S, Engel LS, Noble RT, Munir M. Tracking the temporal variation of COVID-19 surges through wastewater-based epidemiology during the peak of the pandemic: A six-month long study in Charlotte, North Carolina. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 814:152503. [PMID: 34954186 PMCID: PMC8697423 DOI: 10.1016/j.scitotenv.2021.152503] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 05/05/2023]
Abstract
The global spread of SARS-CoV-2 has continued to be a serious concern after WHO declared the virus to be the causative agent of the coronavirus disease 2019 (COVID-19) a global pandemic. Monitoring of wastewater is a useful tool for assessing community prevalence given that fecal shedding of SARS-CoV-2 occurs in high concentrations by infected individuals, regardless of whether they are asymptomatic or symptomatic. Using tools that are part of wastewater-based epidemiology (WBE) approach, combined with molecular analyses, wastewater monitoring becomes a key piece of information used to assess trends and quantify the scale and dynamics of COVID-19 infection in a specific community, municipality, or area of service. This study investigates a six-month long SARS-CoV-2 RNA quantification in influent wastewater from four municipal wastewater treatment plants (WWTP) serving the Charlotte region of North Carolina (NC) using both RT-qPCR and RT-ddPCR platforms. Influent wastewater was analyzed for the nucleocapsid (N) genes N1 and N2. Both RT-qPCR and RT-ddPCR performed well for detection and quantification of SARS-CoV-2 using the N1 target, while for the N2 target RT-ddPCR was more sensitive. SARS-CoV-2 concentration ranged from 103 to 105 copies/L for all four plants. Both RT-qPCR and RT-ddPCR showed a significant positive correlation between SARS-CoV-2 concentrations and the 7-day rolling average of clinically reported COVID-19 cases when lagging 5 to 12 days (ρ = 0.52-0.92, p < 0.001-0.02). A major finding of this study is that RT-qPCR and RT-ddPCR generated SARS-CoV-2 data that was positively correlated (ρ = 0.569, p < 0.0001) and can be successfully used to monitor SARS-CoV-2 signals across the WWTP of different sizes and metropolitan service functions without significant anomalies.
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Affiliation(s)
- Visva Bharati Barua
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - Md Ariful Islam Juel
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - A Denene Blackwood
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Thomas Clerkin
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Mark Ciesielski
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Adeola Julian Sorinolu
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - David A Holcomb
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Isaiah Young
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA
| | - Gina Kimble
- Charlotte Water, 5100 Brookshire Blvd., Charlotte, NC 28216, USA
| | - Shannon Sypolt
- Charlotte Water, 5100 Brookshire Blvd., Charlotte, NC 28216, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rachel T Noble
- Institute of Marine Sciences, The University of North Carolina at Chapel Hill, Morehead City, NC 28557, USA
| | - Mariya Munir
- Department of Civil and Environmental Engineering, University of North Carolina Charlotte, 9201 University City Boulevard, Charlotte, NC 28223, USA.
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66
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Kuhn KG, Jarshaw J, Jeffries E, Adesigbin K, Maytubby P, Dundas N, Miller AC, Rhodes E, Stevenson B, Vogel J, Reeves H. Predicting COVID-19 cases in diverse population groups using SARS-CoV-2 wastewater monitoring across Oklahoma City. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:151431. [PMID: 34748841 PMCID: PMC8570442 DOI: 10.1016/j.scitotenv.2021.151431] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 10/29/2021] [Accepted: 10/31/2021] [Indexed: 05/10/2023]
Abstract
SARS-CoV-2 was discovered among humans in late 2019 and rapidly spread across the world. Although the virus is transmitted by respiratory droplets, most infected persons also excrete viral particles in their feces. This fact prompted a range of studies assessing the usefulness of wastewater surveillance to determine levels of infection and transmission and produce early warnings of outbreaks in local communities, independently of human testing. In this study, we collected samples of wastewater from 13 locations across Oklahoma City, representing different population types, twice per week from November 2020 to end of March 2021. Wastewater samples were collected and analyzed for the presence and concentration of SARS-CoV-2 RNA using RT-qPCR. The concentration of SARS-CoV-2 in the wastewater showed notable peaks, preceding the number of reported COVID-19 cases by an average of one week (ranging between 4 and 10 days). The early warning lead-time for an outbreak or increase in cases was significantly higher in areas with larger Hispanic populations and lower in areas with a higher household income or higher proportion of persons aged 65 years or older. Using this relationship, we predicted the number of cases with an accuracy of 81-92% compared to reported cases. These results confirm the validity and timeliness of using wastewater surveillance for monitoring local disease transmission and highlight the importance of differences in population structures when interpreting surveillance outputs and planning preventive action.
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Affiliation(s)
- Katrin Gaardbo Kuhn
- Department of Biostatistics & Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
| | - Jane Jarshaw
- Department of Biostatistics & Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Erin Jeffries
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Kunle Adesigbin
- Oklahoma City County Health Department, Oklahoma City, OK, USA
| | - Phil Maytubby
- Oklahoma City County Health Department, Oklahoma City, OK, USA
| | - Nicole Dundas
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A Caitlin Miller
- School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA
| | - Emily Rhodes
- School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA
| | - Bradley Stevenson
- Department of Microbiology & Plant Biology, University of Oklahoma, Norman, OK, USA
| | - Jason Vogel
- School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA
| | - Halley Reeves
- Department of Family Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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Amereh F, Jahangiri-Rad M, Mohseni-Bandpei A, Mohebbi SR, Asadzadeh-Aghdaei H, Dabiri H, Eslami A, Roostaei K, Aali R, Hamian P, Rafiee M. Association of SARS-CoV-2 presence in sewage with public adherence to precautionary measures and reported COVID-19 prevalence in Tehran. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152597. [PMID: 34954185 PMCID: PMC8697476 DOI: 10.1016/j.scitotenv.2021.152597] [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: 09/17/2021] [Revised: 12/17/2021] [Accepted: 12/17/2021] [Indexed: 05/06/2023]
Abstract
Compared to the growing body of literature on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection and quantification in sewage, there are limited studies reporting on correlations between the viral loads in sewage and the prevalence of infected patients. The present work is a part of the regular monitoring effort for SARS-CoV-2 in wastewater influents from seven wastewater treatment plants (WWTPs) in Tehran, Iran, starting from late September 2020 until early April 2021. These facilities cover ~64% of the metropolis serving >5000,000 M individuals. The study set out to track the trends in the prevalence of COVID-19 in the community using wastewater based epidemiology (WBE) and to investigate whether these measurements correlate with officially reported infections in the population. Composite sewage samples collected over 16 h were enriched by polyethylene glycol precipitation and the corresponding threshold cycle (Ct) profiles for CDC 'N' and 'ORF1ab' assays were derived through real time RT-qPCR. Monte Carlo simulation model was employed to provide estimates of the disease prevalence in the study area. RNA from SARS-CoV-2 was detectable in 100% ('N' assay) and 81% ('ORF1ab' assay) of totally 91 sewage samples, with viral loads ranging from 40 to 45,000 gene copies/L. The outbreak of COVID-19 positively correlated (R2 = 0.80) with the measured viral load in sewage samples. Furthermore, sewage SARS-CoV-2 RNA loads preceded infections in the population by 1 to 2 days, which were in line with public adherence with and support for government instructions to contain the pandemic. Given the transient presence of human host-restricted infections such as SARS-CoV-2, these results provide evidence for assessment of the effectiveness of coordinated efforts that specifically address public health responses based on wastewater-based disease surveillance against not only COVID-19 but also for future infectious outbreaks.
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Affiliation(s)
- Fatemeh Amereh
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahsa Jahangiri-Rad
- Water Purification Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Anoushiravan Mohseni-Bandpei
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Air Quality and Climate Change Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Reza Mohebbi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Asadzadeh-Aghdaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Dabiri
- Department of Medical Microbiology, Faculty of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Akbar Eslami
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kasra Roostaei
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rahim Aali
- Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran
| | - Parisa Hamian
- Department Geographic Information Systems, Tehran Sewerage Company, Tehran, Iran
| | - Mohammad Rafiee
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Air Quality and Climate Change Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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68
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Hagbom M, Carmona-Vicente N, Sharma S, Olsson H, Jämtberg M, Nilsdotter-Augustinsson Å, Sjöwall J, Nordgren J. Evaluation of SARS-CoV-2 rapid antigen diagnostic tests for saliva samples. Heliyon 2022; 8:e08998. [PMID: 35233472 PMCID: PMC8860750 DOI: 10.1016/j.heliyon.2022.e08998] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/18/2021] [Accepted: 02/18/2022] [Indexed: 12/23/2022] Open
Abstract
Using saliva samples would facilitate sample collection, diagnostic feasibility, and mass screening of SARS-CoV-2. We tested two rapid antigen (RAD) immunochromatographic tests designed for detection of SARS-CoV-2 in saliva: Rapid Response™ COVID-19 Antigen Rapid Test Cassette for oral fluids and DIAGNOS™ COVID-19 Antigen Saliva Test. Evaluation of detection limit was performed with purified SARS-CoV-2 nucleocapsid protein and live SARS-CoV-2 virus. Sensitivity and specificity were further evaluated with reverse transcription quantitative PCR (RT-qPCR) positive and negative saliva samples from hospitalized individuals with COVID-19 (n = 39) and healthcare workers (n = 20). DIAGNOS showed higher sensitivity than Rapid Response for both nucleocapsid protein and live virus. The limit of detection of the saliva test from DIAGNOS was further comparable with the Abbott Panbio™ COVID-19 Ag Rapid Test designed for nasopharyngeal samples. DIAGNOS and Rapid Response detected nine (50.0%) and seven (38.9%), respectively, of the 18 RT-qPCR positive saliva samples. All RT-qPCR negative saliva (n = 41) were negative with both tests. Only one of the RT-qPCR positive saliva samples contained infectious virus as determined by cell culture and was also positive using the saliva RADs. The results show that the DIAGNOS may be an important and easy-to-use saliva RAD complement to detect SARS-CoV-2 positive individuals, but validation with a larger sample set is warranted.
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Affiliation(s)
- Marie Hagbom
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden
| | - Noelia Carmona-Vicente
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden
| | - Sumit Sharma
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden
| | - Henrik Olsson
- Noviral Sweden AB, Västmannagatan 3, 111 24, Stockholm, Sweden
| | - Mikael Jämtberg
- Noviral Sweden AB, Västmannagatan 3, 111 24, Stockholm, Sweden
| | - Åsa Nilsdotter-Augustinsson
- Infectious Diseases/Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johanna Sjöwall
- Infectious Diseases/Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johan Nordgren
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, 581 85, Linköping, Sweden
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Castiglioni S, Schiarea S, Pellegrinelli L, Primache V, Galli C, Bubba L, Mancinelli F, Marinelli M, Cereda D, Ammoni E, Pariani E, Zuccato E, Binda S. SARS-CoV-2 RNA in urban wastewater samples to monitor the COVID-19 pandemic in Lombardy, Italy (March-June 2020). THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 806:150816. [PMID: 34627901 PMCID: PMC8497959 DOI: 10.1016/j.scitotenv.2021.150816] [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] [Received: 08/05/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 04/15/2023]
Abstract
Wastewater-based viral surveillance was proposed as a promising approach to monitor the circulation of SARS-CoV-2 in the general population. The aim of this study was to develop an analytical method to detect SARS-CoV-2 RNA in urban wastewater, and apply it to follow the trends of epidemic in the framework of a surveillance network in the Lombardy region (Northern Italy). This area was the first hotspot of COVID-19 in Europe and was severely affected. Composite 24 h samples were collected weekly in eight cities from end-March to mid-June 2020 (first peak of the pandemic). The method developed and optimized, involved virus concentration using PEG centrifugation, and one-step real-time RT-PCR for analysis. SARS-CoV-2 RNA was identified in 65 (61%) out of 107 samples, and the viral concentrations (up to 2.1 E + 05 copies/L) were highest in March-April. By mid-June, wastewater samples tested negative in all the cities corresponding to the very low number of cases recorded in the same period. Viral loads were calculated considering the wastewater daily flow rate and the population served by each wastewater treatment plant, and were used for inter- city comparison. The highest viral loads were found in Brembate, Ranica and Lodi corresponding to the hotspots of the first peak of pandemic. The pattern of decrease of SARS-CoV-2 in wastewater was closely comparable to the decline of active COVID-19 cases in the population, reflecting the effect of lock-down. This study tested wastewater surveillance of SARS-CoV-2 to follow the pandemic trends in one of most affected areas worldwide, demonstrating that it can integrate ongoing virological surveillance of COVID-19, providing information from both symptomatic and asymptomatic individuals, and monitoring the effect of health interventions.
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Affiliation(s)
- Sara Castiglioni
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy.
| | - Silvia Schiarea
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy
| | - Laura Pellegrinelli
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
| | - Valeria Primache
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
| | - Cristina Galli
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
| | - Laura Bubba
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
| | - Federica Mancinelli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy
| | | | | | | | - Elena Pariani
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
| | - Ettore Zuccato
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Environmental Sciences, Via Mario Negri 2, 20156 Milan, Italy
| | - Sandro Binda
- Department of Biomedical Sciences of Health, University of Milan, Via Pascal 36, 20133 Milan, Italy
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70
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Kostoglou M, Petala M, Karapantsios T, Dovas C, Roilides E, Metallidis S, Papa A, Stylianidis E, Papadopoulos A, Papaioannou N. SARS-CoV-2 adsorption on suspended solids along a sewerage network: mathematical model formulation, sensitivity analysis, and parametric study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:11304-11319. [PMID: 34542818 PMCID: PMC8450709 DOI: 10.1007/s11356-021-16528-0] [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] [Received: 06/17/2021] [Accepted: 09/08/2021] [Indexed: 05/24/2023]
Abstract
Accounting for SARS-CoV-2 adsorption on solids suspended in wastewater is a necessary step towards the reliable estimation of virus shedding rate in a sewerage system, based on measurements performed at a terminal collection station, i.e., at the entrance of a wastewater treatment plant. This concept is extended herein to include several measurement stations across a city to enable the estimation of spatial distribution of virus shedding rate. This study presents a pioneer general model describing the most relevant physicochemical phenomena with a special effort to reduce the complicated algebra. This is performed both in the topology regime, introducing a discrete-continuous approach, and in the domain of independent variables, introducing a monodisperse moment method to reduce the dimensionality of the resulting population balance equations. The resulting simplified model consists of a large system of ordinary differential equations. A sensitivity analysis is performed with respect to some key parameters for a single pipe topology. Specific numerical techniques are employed for the integration of the model. Finally, a parametric case study for an indicative-yet realistic-sewerage piping system is performed to show how the model is applied to SARS-CoV-2 adsorption on wastewater solids in the presence of other competing species. This is the first model of this kind appearing in scientific literature and a first step towards setting up an inverse problem to assess the spatial distribution of virus shedding rate based on its concentration in wastewater.
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Affiliation(s)
- Margaritis Kostoglou
- Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Maria Petala
- Laboratory of Environmental Engineering & Planning, Department of Civil Engineering, Aristotle University of Thessaloniki, 54 124, Thessaloniki, Greece
| | - Thodoris Karapantsios
- Laboratory of Chemical and Environmental Technology, Department of Chemistry, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.
| | - Chrysostomos Dovas
- Faculty of Veterinary Medicine, School of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Emmanuel Roilides
- Infectious Diseases Unit and 3rd Department of Pediatrics, Aristotle University School of Health Sciences, Hippokration Hospital, 54642, Thessaloniki, Greece
| | - Simeon Metallidis
- Department of Haematology, First Department of Internal Medicine, Faculty of Medicine, AHEPA General Hospital, Aristotle University of Thessaloniki, 54636, Thessaloniki, Greece
| | - Anna Papa
- Department of Microbiology, Medical School, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Efstratios Stylianidis
- School of Spatial Planning and Development, Faculty of Engineering, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| | - Agis Papadopoulos
- EYATH S.A., Thessaloniki Water Supply and Sewerage Company S.A., 54636, Thessaloniki, Greece
| | - Nikolaos Papaioannou
- Faculty of Veterinary Medicine, School of Health Sciences, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
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71
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Shah S, Gwee SXW, Ng JQX, Lau N, Koh J, Pang J. Wastewater surveillance to infer COVID-19 transmission: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 804:150060. [PMID: 34798721 PMCID: PMC8423771 DOI: 10.1016/j.scitotenv.2021.150060] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 08/27/2021] [Accepted: 08/27/2021] [Indexed: 05/18/2023]
Abstract
Successful detection of SARS-COV-2 in wastewater suggests the potential utility of wastewater-based epidemiology (WBE) for COVID-19 community surveillance. This systematic review aims to assess the performance of wastewater surveillance as early warning system of COVID-19 community transmission. A systematic search was conducted in PubMed, Medline, Embase and the WBE Consortium Registry according to PRISMA guidelines for relevant articles published until 31st July 2021. Relevant data were extracted and summarized. Quality of each paper was assessed using an assessment tool adapted from Bilotta et al.'s tool for environmental science. Of 763 studies identified, 92 studies distributed across 34 countries were shortlisted for qualitative synthesis. A total of 26,197 samples were collected between January 2020 and May 2021 from various locations serving population ranging from 321 to 11,400,000 inhabitants. Overall sample positivity was moderate at 29.2% in all examined settings with the spike (S) gene having maximum rate of positive detections and nucleocapsid (N) gene being the most targeted. Wastewater signals preceded confirmed cases by up to 63 days, with 13 studies reporting sample positivity before the first cases were detected in the community. At least 50 studies reported an association of viral load with community cases. While wastewater surveillance cannot replace large-scale diagnostic testing, it can complement clinical surveillance by providing early signs of potential transmission for more active public health responses. However, more studies using standardized and validated methods are required along with risk analysis and modelling to understand the dynamics of viral outbreaks.
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Affiliation(s)
- Shimoni Shah
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
| | - Sylvia Xiao Wei Gwee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
| | - Jamie Qiao Xin Ng
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
| | - Nicholas Lau
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
| | - Jiayun Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
| | - Junxiong Pang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore 117549, Singapore; Centre for Infectious Disease Epidemiology and Research, National University of Singapore, Singapore 117549, Singapore.
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Cluzel N, Courbariaux M, Wang S, Moulin L, Wurtzer S, Bertrand I, Laurent K, Monfort P, Gantzer C, Guyader SL, Boni M, Mouchel JM, Maréchal V, Nuel G, Maday Y. A nationwide indicator to smooth and normalize heterogeneous SARS-CoV-2 RNA data in wastewater. ENVIRONMENT INTERNATIONAL 2022; 158:106998. [PMID: 34991258 PMCID: PMC8608586 DOI: 10.1016/j.envint.2021.106998] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/20/2021] [Accepted: 11/21/2021] [Indexed: 05/18/2023]
Abstract
Since many infected people experience no or few symptoms, the SARS-CoV-2 epidemic is frequently monitored through massive virus testing of the population, an approach that may be biased and may be difficult to sustain in low-income countries. Since SARS-CoV-2 RNA can be detected in stool samples, quantifying SARS-CoV-2 genome by RT-qPCR in wastewater treatment plants (WWTPs) has been carried out as a complementary tool to monitor virus circulation among human populations. However, measuring SARS-CoV-2 viral load in WWTPs can be affected by many experimental and environmental factors. To circumvent these limits, we propose here a novel indicator, the wastewater indicator (WWI), that partly reduces and corrects the noise associated with the SARS-CoV-2 genome quantification in wastewater (average noise reduction of 19%). All data processing results in an average correlation gain of 18% with the incidence rate. The WWI can take into account the censorship linked to the limit of quantification (LOQ), allows the automatic detection of outliers to be integrated into the smoothing algorithm, estimates the average measurement error committed on the samples and proposes a solution for inter-laboratory normalization in the absence of inter-laboratory assays (ILA). This method has been successfully applied in the context of Obépine, a French national network that has been quantifying SARS-CoV-2 genome in a representative sample of French WWTPs since March 5th 2020. By August 26th, 2021, 168 WWTPs were monitored in the French metropolitan and overseas territories of France. We detail the process of elaboration of this indicator, show that it is strongly correlated to the incidence rate and that the optimal time lag between these two signals is only a few days, making our indicator an efficient complement to the incidence rate. This alternative approach may be especially important to evaluate SARS-CoV-2 dynamics in human populations when the testing rate is low.
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Affiliation(s)
- Nicolas Cluzel
- Sorbonne Université, Maison des Modélisations Ingénieries et Technologies (SUMMIT), 75005 Paris, France.
| | - Marie Courbariaux
- Sorbonne Université, Maison des Modélisations Ingénieries et Technologies (SUMMIT), 75005 Paris, France
| | - Siyun Wang
- Sorbonne Université, Maison des Modélisations Ingénieries et Technologies (SUMMIT), 75005 Paris, France
| | - Laurent Moulin
- Eau de Paris, Département de Recherche, Développement et Qualité de l'Eau, 33 avenue Jean Jaurès, F-94200 Ivry sur Seine, France
| | - Sébastien Wurtzer
- Eau de Paris, Département de Recherche, Développement et Qualité de l'Eau, 33 avenue Jean Jaurès, F-94200 Ivry sur Seine, France
| | | | - Karine Laurent
- Sorbonne Université, Maison des Modélisations Ingénieries et Technologies (SUMMIT), 75005 Paris, France
| | - Patrick Monfort
- HydroSciences Montpellier, UMR 5151, Université de Montpellier, CNRS, IRD, F-34093 Montpellier, France
| | | | - Soizick Le Guyader
- Ifremer, laboratoire de Microbiologie, SG2M/LSEM, BP 21105, 44311 Nantes, France
| | - Mickaël Boni
- Institut de Recherche Biomédicale des Armées, 1 place Valérie André, F-91220 Brétigny-sur-Orge, France
| | - Jean-Marie Mouchel
- Sorbonne Université, CNRS, EPHE, UMR 7619 Metis, e-LTER Zone Atelier Seine, F-75005 Paris, France
| | - Vincent Maréchal
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine, F-75012 Paris, France
| | - Grégory Nuel
- Stochastics and Biology Group, Probability and Statistics (LPSM, CNRS 8001), Sorbonne University, Campus Pierre et Marie Curie, 4 Place Jussieu, 75005 Paris, France
| | - Yvon Maday
- Sorbonne Université, CNRS, Université de Paris, Laboratoire Jacques-Louis Lions (LJLL), F-75005 Paris, France; Institut Universaire de France, France.
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73
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Hrudey SE, Conant B. The devil is in the details: emerging insights on the relevance of wastewater surveillance for SARS-CoV-2 to public health. JOURNAL OF WATER AND HEALTH 2022; 20:246-270. [PMID: 35100171 DOI: 10.2166/wh.2021.186] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
The severe health consequences and global spread of the COVID-19 pandemic have necessitated the rapid development of surveillance programs to inform public health responses. Efforts to support surveillance capacity have included an unprecedented global research response into the use of genetic signals of SARS-CoV-2 in wastewater following the initial demonstration of the virus' detectability in wastewater in early 2020. The confirmation of fecal shedding of SARS-CoV-2 from asymptomatic, infected and recovering individuals further supports the potential for wastewater analysis to augment public health conventional surveillance techniques based on clinical testing of symptomatic individuals. We have reviewed possible capabilities projected for wastewater surveillance to support pandemic management, including independent, objective and cost-effective data generation that complements and addresses attendant limitations of clinical surveillance, early detection (i.e., prior to clinical reporting) of infection, estimation of disease prevalence, tracking of trends as possible indicators of success or failure of public health measures (mask mandates, lockdowns, vaccination, etc.), informing and engaging the public about pandemic trends, an application within sewer networks to identify infection hotspots, monitoring for presence or changes in infections from institutions (e.g., long-term care facilities, prisons, educational institutions and vulnerable industrial plants) and tracking of appearance/progression of viral variants of concern.
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Affiliation(s)
- Steve E Hrudey
- Analytical & Environmental Toxicology, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB T6G 2G3, Canada E-mail:
| | - Bernadette Conant
- Canadian Water Network, University of Waterloo, 200 University Avenue W, Waterloo ON N2L 3G1, Canada
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Enocsson H, Idoff C, Gustafsson A, Govender M, Hopkins F, Larsson M, Nilsdotter-Augustinsson Å, Sjöwall J. Soluble Urokinase Plasminogen Activator Receptor (suPAR) Independently Predicts Severity and Length of Hospitalisation in Patients With COVID-19. Front Med (Lausanne) 2021; 8:791716. [PMID: 34926532 PMCID: PMC8674575 DOI: 10.3389/fmed.2021.791716] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/12/2021] [Indexed: 01/07/2023] Open
Abstract
Background: Efficient healthcare based on prognostic variables in hospitalised patients with COVID-19 could reduce the risk of complications and death. Recently, soluble urokinase Plasminogen Activator Receptor (suPAR) was shown to predict respiratory failure, kidney injury, and clinical outcome in patients with SARS-CoV-2 infection. The aim of this study was to investigate the value of suPAR as a prognostic tool, in comparison with other variables, regarding disease severity and length of hospital stay in patients with COVID-19. Patients and Methods: Individuals hospitalised with COVID-19 (40 males, 20 females; median age 57.5 years) with a median symptom duration of 10 days and matched, healthy controls (n = 30) were included. Admission levels of suPAR were measured in serum by enzyme-linked immunosorbent assay. Blood cell counts, C-reactive protein (CRP) levels, lactate dehydrogenase (LDH), plasma creatinine and estimated glomerular filtration rates were analysed and oxygen demand, level of care and length of hospitalisation recorded. Results: Patients had significantly higher suPAR levels compared to controls (P < 0.001). Levels were higher in severely/critically (median 6.6 ng/mL) compared with moderately ill patients (median 5.0 ng/mL; P = 0.002). In addition, suPAR levels correlated with length of hospitalisation (rho = 0.35; P = 0.006). Besides suPAR, LDH, CRP, neutrophil count, neutrophil-to-monocyte and neutrophil-to-lymphocyte ratio, body mass index and chronic renal failure were discriminators of COVID-19 severity and/or predictors of length of hospitalisation. Conclusion: Admission levels of suPAR were higher in patients who developed severe/critical COVID-19 and associated with length of hospital stay. In addition, we showed that suPAR functioned as an independent predictor of COVID-19 disease severity.
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Affiliation(s)
- Helena Enocsson
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Cornelia Idoff
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Annette Gustafsson
- Department of Infectious Diseases, The Vrinnevi Hospital, Norrköping, Sweden
| | - Melissa Govender
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Francis Hopkins
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Marie Larsson
- Division of Molecular Medicine and Virology, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Åsa Nilsdotter-Augustinsson
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johanna Sjöwall
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Department of Infectious Diseases, The Vrinnevi Hospital, Norrköping, Sweden
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75
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Navarro A, Gómez L, Sanseverino I, Niegowska M, Roka E, Pedraccini R, Vargha M, Lettieri T. SARS-CoV-2 detection in wastewater using multiplex quantitative PCR. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 797:148890. [PMID: 34298359 PMCID: PMC8278834 DOI: 10.1016/j.scitotenv.2021.148890] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 07/02/2021] [Accepted: 07/03/2021] [Indexed: 05/03/2023]
Abstract
A multiplex reverse transcription quantitative PCR (RT-qPCR)-based method was designed for the simultaneous detection of different SARS-CoV-2 genes. In this study, we used three target genes encoding for the nucleocapsid 1 and 3 (N1, N3), and the spike (S) proteins, all commonly used in the detection of SARS-CoV-2 in human and environmental samples. The performance of the multiplex assay, compared to the single assay was assessed for the standard calibration curve, required for absolute quantification, and then, for the real environmental samples to detect SARS-CoV-2. For this latter, four environmental samples were collected at a local wastewater treatment plant (WWTP). The results showed that the cycle threshold (Ct) values of the multiplex were comparable to the values obtained by the singleplex PCR. The amplification of the three target genes indicated the presence of SARS-CoV-2 in the four water samples with an increasing trend in February and these results were confirmed in the multiplex approach, showing the robustness of this method and its applicability for the relative abundance analysis among the samples. Overall, both the laboratory and field work results demonstrated that the multiplex PCR assay developed in this study could provide a method for SARS-CoV-2 detection as robust as the single qPCR, but faster and cost-effective, reducing by three times the number of reactions, and consequently the handling time and reagents.
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Affiliation(s)
- Anna Navarro
- European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, VA, Italy
| | - Livia Gómez
- European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, VA, Italy
| | - Isabella Sanseverino
- European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, VA, Italy
| | - Magdalena Niegowska
- European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, VA, Italy
| | - Eszter Roka
- Department of Public Health Laboratory, National Public Health Centre, Albert Flórián út 2-6, 1097 Budapest, Hungary
| | | | - Marta Vargha
- Department of Public Health Laboratory, National Public Health Centre, Albert Flórián út 2-6, 1097 Budapest, Hungary
| | - Teresa Lettieri
- European Commission Joint Research Centre, Via E. Fermi 2749, 21027 Ispra, VA, Italy.
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76
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Kumblathan T, Liu Y, Uppal GK, Hrudey SE, Li XF. Wastewater-Based Epidemiology for Community Monitoring of SARS-CoV-2: Progress and Challenges. ACS ENVIRONMENTAL AU 2021; 1:18-31. [PMID: 37579255 PMCID: PMC8340581 DOI: 10.1021/acsenvironau.1c00015] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Wastewater-based epidemiology (WBE) is useful for the surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in communities, complementing clinical diagnostic testing of individuals. In this Review, we summarize recent progress and highlight remaining challenges in monitoring SARS-CoV-2 RNA in wastewater systems for community and environmental surveillance. Very low concentrations of viral particles and RNA present in the complicated wastewater and sewage sample matrix require efficient sample processing and sensitive detection. We discuss advantages and limitations of available methods for wastewater sample processing, including collection, separation, enrichment, RNA extraction, and purification. Efficient extraction of the viral RNA and removal of interfering sample matrices are critical to the subsequent reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for sensitive detection of SARS-CoV-2 in wastewater. We emphasize the importance of implementing appropriate controls and method validation, which include the use of surrogate viruses for assessing extraction efficiency and normalization against measurable chemical and biological components in wastewater. Critical analysis of the published studies reveals imperative research needs for the development, validation, and standardization of robust and sensitive methods for quantitative detection of viral RNA and proteins in wastewater for WBE.
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Affiliation(s)
| | | | - Gursharan K. Uppal
- Division of Analytical and
Environmental Toxicology, Department of Laboratory Medicine and Pathology,
Faculty of Medicine and Dentistry, University
of Alberta, Edmonton, AB, Canada T6G 2G3
| | - Steve E. Hrudey
- Division of Analytical and
Environmental Toxicology, Department of Laboratory Medicine and Pathology,
Faculty of Medicine and Dentistry, University
of Alberta, Edmonton, AB, Canada T6G 2G3
| | - Xing-Fang Li
- Division of Analytical and
Environmental Toxicology, Department of Laboratory Medicine and Pathology,
Faculty of Medicine and Dentistry, University
of Alberta, Edmonton, AB, Canada T6G 2G3
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77
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Russo C, Morello G, Malaguarnera R, Piro S, Furno DL, Malaguarnera L. Candidate genes of SARS-CoV-2 gender susceptibility. Sci Rep 2021; 11:21968. [PMID: 34753980 PMCID: PMC8578384 DOI: 10.1038/s41598-021-01131-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 10/22/2021] [Indexed: 02/08/2023] Open
Abstract
The severe acute respiratory syndrome coronavirus (SARS-CoV-2) initiated a global viral pandemic since late 2019. Understanding that Coronavirus disease (COVID-19) disproportionately affects men than women results in great challenges. Although there is a growing body of published study on this topic, effective explanations underlying these sex differences and their effects on the infection outcome still remain uncertain. We applied a holistic bioinformatics method to investigate molecular variations of known SARS-CoV-2 interacting human proteins mainly expressed in gonadal tissues (testis and ovary), allowing for the identification of potential genetic targets for this infection. Functional enrichment and interaction network analyses were also performed to better investigate the biological differences between testicular and ovarian responses in the SARS-CoV-2 infection, paying particular attention to genes linked to immune-related pathways, reactions of host cells after intracellular infection, steroid hormone biosynthesis, receptor signaling, and the complement cascade, in order to evaluate their potential association with sexual difference in the likelihood of infection and severity of symptoms. The analysis revealed that within the testis network TMPRSS2, ADAM10, SERPING1, and CCR5 were present, while within the ovary network we found BST2, GATA1, ENPEP, TLR4, TLR7, IRF1, and IRF2. Our findings could provide potential targets for forthcoming experimental investigation related to SARS-CoV-2 treatment.
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Affiliation(s)
- Cristina Russo
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Giovanna Morello
- Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Catania, Italy.
| | | | - Salvatore Piro
- Department of Clinical and Molecular Medicine, University of Catania, Catania, Italy
| | - Debora Lo Furno
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Lucia Malaguarnera
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
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Rafiee M, Isazadeh S, Mohseni-Bandpei A, Mohebbi SR, Jahangiri-Rad M, Eslami A, Dabiri H, Roostaei K, Tanhaei M, Amereh F. Moore swab performs equal to composite and outperforms grab sampling for SARS-CoV-2 monitoring in wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 790:148205. [PMID: 34102442 PMCID: PMC8170911 DOI: 10.1016/j.scitotenv.2021.148205] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 05/30/2021] [Accepted: 05/30/2021] [Indexed: 05/05/2023]
Abstract
Wastewater-based epidemiology (WBE) approaches to detect SARS-CoV-2 in municipal wastewater can provide unique information on the incidence or prevalence of COVID-19 in community. However, there are several technical challenges coupled with sewage sampling for SARS-CoV-2, including intermittent shedding of viruses, sampling time, volume, and frequency. Sampling schemes thus may need to be tailored to reach out highly sensitive, accurate, and reliable results. Herein, we compared the accuracy and threshold cycle (Ct) profiles of SARS-CoV-2 in Moore swabs, composite (16-h), and grab samples taken from sewage manholes (n = 17) at the Middle Eastern city of Tehran, Iran, on two occasions (November 2020 and May 2021). Samples were concentrated by polyethylene glycol precipitation and the corresponding Ct values for CDC 'N' and 'ORF1ab' assays were derived by means of real time RT-qPCR. Overall, the Moore swabs performed equal to samples composited over 16 h for qualitative monitoring, and 34/34 (100%) were positive for SARS-CoV-2. The 'N' assay showed the highest detection frequency as compared to 'ORF1ab'. The mean Moore swab Ct profiles were more consistent with 16 h composite sampling as compared with corresponding grab samples, providing hints as to the best sampling protocol to adopt when planning a sewage monitoring campaign particularly under WBE. Furthermore, our analyses on local differences showed somewhat higher virus copy numbers in the southern areas. The experimental design of this study revealed that the Moore swab and composite samples are more sensitive than grab samples, suggesting that the collection of grab samples may be inappropriate for characterizing total number of viral RNA copies in sewage samples. Given the transiently presence of human host-restricted infections such as SARS-CoV-2 and the simplicity and affordability of Moore swab, the method is well suited for disease surveillance in resource poor regions struggling with limited capacity for clinical testing.
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Affiliation(s)
- Mohammad Rafiee
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Siavash Isazadeh
- Environmental Research and Development, American Water Works, Delran, NJ, USA
| | - Anoushiravan Mohseni-Bandpei
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed Reza Mohebbi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahsa Jahangiri-Rad
- Water Purification Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Akbar Eslami
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Dabiri
- Department of Medical Microbiology, Faculty of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Kasra Roostaei
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Tanhaei
- Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Amereh
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Yao S, Ye J, Yang Q, Hu Y, Zhang T, Jiang L, Munezero S, Lin K, Cui C. Occurrence and removal of antibiotics, antibiotic resistance genes, and bacterial communities in hospital wastewater. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:57321-57333. [PMID: 34089156 PMCID: PMC8177822 DOI: 10.1007/s11356-021-14735-3] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 06/01/2021] [Indexed: 05/05/2023]
Abstract
Hospital wastewater contains a variety of human antibiotics and pathogens, which makes the treatment of hospital wastewater essential. However, there is a lack of research on these pollutants at hospital wastewater treatment plants. In this study, the characteristics and removal of antibiotics and antibiotic resistance genes (ARGs) in the independent treatment processes of hospitals of different scales (primary hospital, H1; secondary hospital, H2; and tertiary hospital, H3) were investigated. The occurrence of antibiotics and ARGs in wastewater from three hospitals varied greatly. The first-generation cephalosporin cefradine was detected at a concentration of 2.38 μg/L in untreated wastewater from H1, while the fourth-generation cephalosporin cefepime had the highest concentration, 540.39 μg/L, at H3. Ofloxacin was detected at a frequency of 100% and had removal efficiencies of 44.2%, 51.5%, and 81.6% at H1, H2, and H3, respectively. The highest relative abundances of the β-lactam resistance gene blaGES-1 (1.77×10-3 copies/16S rRNA), the quinolone resistance gene qnrA (8.81×10-6 copies/16S rRNA), and the integron intI1 (1.86×10-4 copies/16S rRNA) were detected in the treated wastewater. The concentrations of several ARGs were increased in the treated wastewater (e.g. blaOXA-1, blaOXA-10, and blaTEM-1). Several pathogenic or opportunistic bacteria (e.g. Acinetobacter, Klebsiella, Aeromonas, and Pseudomonas) were observed at high relative abundances in the treated wastewater. These results suggested the co-occurrence of antibiotics, ARGs, and antibiotic-resistant pathogens in hospital wastewater, and these factors may spread into the receiving aquatic environment.
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Affiliation(s)
- Shijie Yao
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Jianfeng Ye
- Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
| | - Qing Yang
- Shanghai Academy of Environmental Sciences, Shanghai, 200233, China
| | - Yaru Hu
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Tianyang Zhang
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China
- State Key Laboratory of Pollution Control and Resource Reuse, Key Laboratory of Yangtze Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Lei Jiang
- National Engineering Research Center of Urban Water Resources, Shanghai, 200082, China
| | - Salvator Munezero
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Kuangfei Lin
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China
| | - Changzheng Cui
- State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process, School of Resources and Environmental Engineering, East China University of Science and Technology, Shanghai, 200237, China.
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, China.
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80
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Claro ICM, Cabral AD, Augusto MR, Duran AFA, Graciosa MCP, Fonseca FLA, Speranca MA, Bueno RDF. Long-term monitoring of SARS-COV-2 RNA in wastewater in Brazil: A more responsive and economical approach. WATER RESEARCH 2021; 203:117534. [PMID: 34388493 PMCID: PMC8349564 DOI: 10.1016/j.watres.2021.117534] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 07/10/2021] [Accepted: 08/03/2021] [Indexed: 05/17/2023]
Abstract
SARS-CoV-2, the novel Coronavirus, was first detected in Wuhan, China, in December 2019, and has since spread rapidly, causing millions of deaths worldwide. As in most countries of the world, in Brazil, the consequences of the COVID-19 pandemic have been catastrophic. Several studies have reported the fecal shedding of SARS-CoV-2 RNA titers from infected symptomatic and asymptomatic individuals. Therefore, the quantification of SARS-CoV-2 in wastewater can be used to track the virus spread in a population. In this study, samples of untreated wastewater were collected for 44 weeks at five sampling sites in the ABC Region (São Paulo, Brazil), in order to evaluate the SARS-CoV-2 occurrence in the sewerage system. SARS-CoV-2 RNA titers were detected throughout the period, and the concentration ranged from 2.7 to 7.7 log10 genome copies.L-1, with peaks in the last weeks of monitoring. Furthermore, we observed a positive correlation between the viral load in wastewater and the epidemiological/clinical data, with the former preceding the latter by approximately two weeks. The COVID-19 prevalence for each sampling site was estimated via Monte-Carlo simulation using the wastewater viral load. The mean predicted prevalence ranged 0.05 to 0.38%, slightly higher than reported (0.016 ± 0.005%) in the ABC Region for the same period. These results highlight the viability of the wastewater surveillance for COVID-19 infection monitoring in the largest urban agglomeration in South America. This approach can be especially useful for health agencies and public decision-makers in predicting SARS-CoV-2 outbreaks, as well as in local tracing of infection clusters.
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Affiliation(s)
- Ieda Carolina Mantovani Claro
- 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
| | - 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
| | | | | | - Marcia Aparecida Speranca
- Federal University of ABC. Center for Natural and Human Sciences (CCNH), São Bernardo, São Paulo, Brazil
| | - Rodrigo de Freitas Bueno
- Federal University of ABC. Center of Engineering, Modelling and Applied Social Sciences (CECS), Santo Andre, São Paulo, Brazil.
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81
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Kirby AE, Walters MS, Jennings WC, Fugitt R, LaCross N, Mattioli M, Marsh ZA, Roberts VA, Mercante JW, Yoder J, Hill VR. Using Wastewater Surveillance Data to Support the COVID-19 Response - United States, 2020-2021. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2021; 70:1242-1244. [PMID: 34499630 PMCID: PMC8437053 DOI: 10.15585/mmwr.mm7036a2] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Wastewater surveillance, the measurement of pathogen levels in wastewater, is used to evaluate community-level infection trends, augment traditional surveillance that leverages clinical tests and services (e.g., case reporting), and monitor public health interventions (1). Approximately 40% of persons infected with SARS-CoV-2, the virus that causes COVID-19, shed virus RNA in their stool (2); therefore, community-level trends in SARS-CoV-2 infections, both symptomatic and asymptomatic (2) can be tracked through wastewater testing (3-6). CDC launched the National Wastewater Surveillance System (NWSS) in September 2020 to coordinate wastewater surveillance programs implemented by state, tribal, local, and territorial health departments to support the COVID-19 pandemic response. In the United States, wastewater surveillance was not previously implemented at the national level. As of August 2021, NWSS includes 37 states, four cities, and two territories. This report summarizes NWSS activities and describes innovative applications of wastewater surveillance data by two states, which have included generating alerts to local jurisdictions, allocating mobile testing resources, evaluating irregularities in traditional surveillance, refining health messaging, and forecasting clinical resource needs. NWSS complements traditional surveillance and enables health departments to intervene earlier with focused support in communities experiencing increasing concentrations of SARS-CoV-2 in wastewater. The ability to conduct wastewater surveillance is not affected by access to health care or the clinical testing capacity in the community. Robust, sustainable implementation of wastewater surveillance requires public health capacity for wastewater testing, analysis, and interpretation. Partnerships between wastewater utilities and public health departments are needed to leverage wastewater surveillance data for the COVID-19 response for rapid assessment of emerging threats and preparedness for future pandemics.
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82
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Adelodun B, Ajibade FO, Tiamiyu AO, Nwogwu NA, Ibrahim RG, Kumar P, Kumar V, Odey G, Yadav KK, Khan AH, Cabral-Pinto MMS, Kareem KY, Bakare HO, Ajibade TF, Naveed QN, Islam S, Fadare OO, Choi KS. Monitoring the presence and persistence of SARS-CoV-2 in water-food-environmental compartments: State of the knowledge and research needs. ENVIRONMENTAL RESEARCH 2021; 200:111373. [PMID: 34033834 PMCID: PMC8142028 DOI: 10.1016/j.envres.2021.111373] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 05/15/2021] [Accepted: 05/19/2021] [Indexed: 05/18/2023]
Abstract
The recent spread of severe acute respiratory syndrome coronavirus (SAR-CoV-2) and the accompanied coronavirus disease 2019 (COVID-19) has continued ceaselessly despite the implementations of popular measures, which include social distancing and outdoor face masking as recommended by the World Health Organization. Due to the unstable nature of the virus, leading to the emergence of new variants that are claimed to be more and rapidly transmissible, there is a need for further consideration of the alternative potential pathways of the virus transmissions to provide the needed and effective control measures. This review aims to address this important issue by examining the transmission pathways of SARS-CoV-2 via indirect contacts such as fomites and aerosols, extending to water, food, and other environmental compartments. This is essentially required to shed more light regarding the speculation of the virus spread through these media as the available information regarding this is fragmented in the literature. The existing state of the information on the presence and persistence of SARS-CoV-2 in water-food-environmental compartments is essential for cause-and-effect relationships of human interactions and environmental samples to safeguard the possible transmission and associated risks through these media. Furthermore, the integration of effective remedial measures previously used to tackle the viral outbreaks and pandemics, and the development of new sustainable measures targeting at monitoring and curbing the spread of SARS-CoV-2 were emphasized. This study concluded that alternative transmission pathways via human interactions with environmental samples should not be ignored due to the evolving of more infectious and transmissible SARS-CoV-2 variants.
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Affiliation(s)
- Bashir Adelodun
- Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, 41566, South Korea; Department of Agricultural and Biosystems Engineering, University of Ilorin, PMB 1515, Ilorin, 240103, Nigeria.
| | - Fidelis Odedishemi Ajibade
- Department of Civil and Environmental Engineering, Federal University of Technology, PMB 704, Akure, Nigeria; Key Laboratory of Environmental Biotechnology, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | | | - Nathaniel Azubuike Nwogwu
- University of Chinese Academy of Sciences, Beijing, 100049, PR China; Department of Agricultural and Bioresources Engineering, Federal University of Technology Owerri, PMB 1526, Nigeria; State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, PR China
| | | | - Pankaj Kumar
- Agro-ecology and Pollution Research Laboratory, Department of Zoology and Environmental Science, Gurukula Kangri (Deemed to be University), Haridwar, 249404, Uttarakhand, India
| | - Vinod Kumar
- Agro-ecology and Pollution Research Laboratory, Department of Zoology and Environmental Science, Gurukula Kangri (Deemed to be University), Haridwar, 249404, Uttarakhand, India
| | - Golden Odey
- Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, 41566, South Korea
| | - Krishna Kumar Yadav
- Faculty of Science and Technology, Madhyanchal Professional University, Ratibad, Bhopal, 462044, India
| | - Afzal Husain Khan
- Civil Engineering Department, College of Engineering, Jazan University, 114, Jazan, Saudi Arabia
| | - Marina M S Cabral-Pinto
- Geobiotec Research Centre, Department of Geoscience, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Kola Yusuff Kareem
- Department of Agricultural and Biosystems Engineering, University of Ilorin, PMB 1515, Ilorin, 240103, Nigeria
| | | | - Temitope Fausat Ajibade
- Department of Civil and Environmental Engineering, Federal University of Technology, PMB 704, Akure, Nigeria; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, PR China
| | | | - Saiful Islam
- Civil Engineering Department, College of Engineering, King Khalid University, Abha, 61413, Asir, Saudi Arabia
| | - Oluniyi Olatunji Fadare
- University of Chinese Academy of Sciences, Beijing, 100049, PR China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China; Division of Environmental and Earth Sciences, Centre for Energy Research and Development, Obafemi Awolowo University, Ile Ife, 220001, Nigeria
| | - Kyung Sook Choi
- Department of Agricultural Civil Engineering, Kyungpook National University, Daegu, 41566, South Korea; Institute of Agricultural Science & Technology, Kyungpook, National University, Daegu, 41566, South Korea.
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83
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Elsaid K, Olabi V, Sayed ET, Wilberforce T, Abdelkareem MA. Effects of COVID-19 on the environment: An overview on air, water, wastewater, and solid waste. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 292:112694. [PMID: 33990012 PMCID: PMC8086829 DOI: 10.1016/j.jenvman.2021.112694] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/17/2021] [Accepted: 04/21/2021] [Indexed: 05/18/2023]
Abstract
The COVID-19 pandemic has hit the world hardly as of the beginning of 2020 and quickly spread worldwide from its first-reported point in early Dec. 2019. By mid-March 2021, the COVID-19 almost hit all countries worldwide, with about 122 and 2.7 million confirmed cases and deaths, respectively. As a strong measure to stop the infection spread and deaths, many countries have enforced quarantine and lockdown of many activities. The shutdown of these activities has resulted in large economic losses. However, it has been widely reported that these measures have resulted in improved air quality, more specifically in highly polluted areas characterized by massive population and industrial activities. The reduced levels of carbon, nitrogen, sulfur, and particulate matter emissions have been reported and confirmed worldwide in association with lockdown periods. On the other hand, ozone levels in ambient air have been found to increase, mainly in response to the reduced nitrogen emissions. In addition, improved water quality in natural water resources has been reported as well. Wastewater facilities have reported a higher level of organic load with persistent chemicals due to the increased use of sanitizers, disinfectants, and antibiotics. The solid waste generated due to the COVID-19 pandemic was found to increase both qualitatively and quantitatively. This work presents and summarizes the observed environmental effects of COVID-19 as reported in the literature for different countries worldwide. The work provides a distinct overview considering the effects imposed by COVID-19 on the air, water, wastewater, and solid waste as critical elements of the environment.
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Affiliation(s)
- Khaled Elsaid
- Chemical Engineering Program, Texas A&M University at Qatar, P.O. 23874, Doha, Qatar.
| | - Valentina Olabi
- College of Social Sciences, University of Glasgow, Scotland, UK
| | - Enas Taha Sayed
- Chemical Engineering Department, Faculty of Engineering, Minia University, Egypt; Center for Advanced Materials Research, University of Sharjah, 27272, Sharjah, United Arab Emirates.
| | - Tabbi Wilberforce
- Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Aston Triangle, Birmingham, B4 7ET, UK
| | - Mohammad Ali Abdelkareem
- Chemical Engineering Department, Faculty of Engineering, Minia University, Egypt; Center for Advanced Materials Research, University of Sharjah, 27272, Sharjah, United Arab Emirates; Department of Sustainable and Renewable Energy Engineering, University of Sharjah, 27272, Sharjah, United Arab Emirates
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84
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Mousazadeh M, Ashoori R, Paital B, Kabdaşlı I, Frontistis Z, Hashemi M, Sandoval MA, Sherchan S, Das K, Emamjomeh MM. Wastewater Based Epidemiology Perspective as a Faster Protocol for Detecting Coronavirus RNA in Human Populations: A Review with Specific Reference to SARS-CoV-2 Virus. Pathogens 2021; 10:1008. [PMID: 34451472 PMCID: PMC8401392 DOI: 10.3390/pathogens10081008] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/04/2021] [Accepted: 08/06/2021] [Indexed: 12/21/2022] Open
Abstract
Wastewater-based epidemiology (WBE) has a long history of identifying a variety of viruses from poliovirus to coronaviruses, including novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The presence and detection of SARS-CoV-2 in human feces and its passage into the water bodies are significant public health challenges. Hence, the hot issue of WBE of SARS-CoV-2 in the coronavirus respiratory disease (COVID-19) pandemic is a matter of utmost importance (e.g., SARS-CoV-1). The present review discusses the background, state of the art, actual status, and prospects of WBE, as well as the detection and quantification protocols of SARS-CoV-2 in wastewater. The SARS-CoV-2 detection studies have been performed in different water matrixes such as influent and effluent of wastewater treatment plants, suburban pumping stations, hospital wastewater, and sewer networks around the globe except for Antarctica. The findings revealed that all WBE studies were in accordance with clinical and epidemiological data, which correlates the presence of SARS-CoV-2 ribonucleic acid (RNA) with the number of new daily positive cases officially reported. This last was confirmed via Reverse Transcriptase-quantitative Polymerase Chain Reaction (RT-qPCR) testing which unfortunately is not suitable for real-time surveillance. In addition, WBE concept may act as a faster protocol to alert the public health authorities to take administrative orders (possible re-emerging infections) due to the impracticality of testing all citizens in a short time with limited diagnostic facilities. A comprehensive and integrated review covering all steps starting from sampling to molecular detection of SARS-CoV-2 in wastewater has been made to guide for the development well-defined and reliable protocols.
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Affiliation(s)
- Milad Mousazadeh
- Student Research Committee, Qazvin University of Medical Sciences, Qazvin, Iran;
- Department of Environmental Health Engineering, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Razieh Ashoori
- Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran;
| | - Biswaranjan Paital
- Redox Regulation Laboratory, College of Basic Science and Humanities, Odisha University of Agriculture and Technology, Bhubaneswar 751003, India;
| | - Işık Kabdaşlı
- Environmental Engineering Department, Civil Engineering Faculty, Ayazağa Campus, İstanbul Technical University, İstanbul 34469, Turkey;
| | - Zacharias Frontistis
- Department of Chemical Engineering, University of Western Macedonia, 50132 Kozani, Greece;
| | - Marjan Hashemi
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;
| | - Miguel A. Sandoval
- Laboratorio de Electroquímica Medio Ambiental LEQMA, Departamento de Química de los Materiales, Facultad de Química y Biología, Universidad de Santiago de Chile USACH, Casilla 40, Correo 33, Santiago 9170022, Chile;
- Departamento de Ingeniería Química, División de Ciencias Naturales y Exactas, Universidad de Guanajuato, Guanajuato 36050, Mexico
| | - Samendra Sherchan
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 7011, USA;
| | - Kabita Das
- Department of Philosophy, Utkal University, Bhubaneswar 751004, India;
| | - Mohammad Mahdi Emamjomeh
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
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85
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Amereh F, Negahban-Azar M, Isazadeh S, Dabiri H, Masihi N, Jahangiri-Rad M, Rafiee M. Sewage Systems Surveillance for SARS-CoV-2: Identification of Knowledge Gaps, Emerging Threats, and Future Research Needs. Pathogens 2021. [PMID: 34451410 DOI: 10.3390/pathogens10080946.pmid:34451410;pmcid:pmc8402176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2023] Open
Abstract
The etiological agent for novel coronavirus (COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), not only affects the human respiratory system, but also the gastrointestinal tract resulting in gastrointestinal manifestations. The high rate of asymptomatic infected individuals has challenged the estimation of infection spread based on patients' surveillance, and thus alternative approaches such as wastewater-based epidemiology (WBE) have been proposed. Accordingly, the number of publications on this topic has increased substantially. The present systematic review thus aimed at providing state-of-the-knowledge on the occurrence and existing methods for sampling procedures, detection/quantification of SARS-CoV-2 in sewage samples, as well as anticipating challenges and providing future research direction to improve the current scientific knowledge. Articles were collected from three scientific databases. Only studies reporting measurements of virus in stool, urine, and wastewater samples were included. Results showed that improving the scientific community's understanding in these avenues is essential if we are to develop appropriate policy and management tools to address this pandemic pointing particularly towards WBE as a new paradigm in public health. It was also evident that standardized protocols are needed to ensure reproducibility and comparability of outcomes. Areas that require the most improvements are sampling procedures, concentration/enrichment, detection, and quantification of virus in wastewater, as well as positive controls. Results also showed that selecting the most accurate population estimation method for WBE studies is still a challenge. While the number of people infected in an area could be approximately estimated based on quantities of virus found in wastewater, these estimates should be cross-checked by other sources of information to draw a more comprehensive conclusion. Finally, wastewater surveillance can be useful as an early warning tool, a management tool, and/or a way for investigating vaccination efficacy and spread of new variants.
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Affiliation(s)
- Fatemeh Amereh
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
| | - Masoud Negahban-Azar
- Department of Environmental Science and Technology, University of Maryland, College Park, MD 20740, USA
| | - Siavash Isazadeh
- Environmental Service, Suez Water North America, Paramus, NJ 07652, USA
| | - Hossein Dabiri
- Department of Medical Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
| | - Najmeh Masihi
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
| | - Mahsa Jahangiri-Rad
- Water Purification Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran 19168, Iran
| | - Mohammad Rafiee
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
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86
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Amereh F, Negahban-Azar M, Isazadeh S, Dabiri H, Masihi N, Jahangiri-rad M, Rafiee M. Sewage Systems Surveillance for SARS-CoV-2: Identification of Knowledge Gaps, Emerging Threats, and Future Research Needs. Pathogens 2021; 10:946. [PMID: 34451410 PMCID: PMC8402176 DOI: 10.3390/pathogens10080946] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/04/2021] [Accepted: 07/22/2021] [Indexed: 02/06/2023] Open
Abstract
The etiological agent for novel coronavirus (COVID-19, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), not only affects the human respiratory system, but also the gastrointestinal tract resulting in gastrointestinal manifestations. The high rate of asymptomatic infected individuals has challenged the estimation of infection spread based on patients' surveillance, and thus alternative approaches such as wastewater-based epidemiology (WBE) have been proposed. Accordingly, the number of publications on this topic has increased substantially. The present systematic review thus aimed at providing state-of-the-knowledge on the occurrence and existing methods for sampling procedures, detection/quantification of SARS-CoV-2 in sewage samples, as well as anticipating challenges and providing future research direction to improve the current scientific knowledge. Articles were collected from three scientific databases. Only studies reporting measurements of virus in stool, urine, and wastewater samples were included. Results showed that improving the scientific community's understanding in these avenues is essential if we are to develop appropriate policy and management tools to address this pandemic pointing particularly towards WBE as a new paradigm in public health. It was also evident that standardized protocols are needed to ensure reproducibility and comparability of outcomes. Areas that require the most improvements are sampling procedures, concentration/enrichment, detection, and quantification of virus in wastewater, as well as positive controls. Results also showed that selecting the most accurate population estimation method for WBE studies is still a challenge. While the number of people infected in an area could be approximately estimated based on quantities of virus found in wastewater, these estimates should be cross-checked by other sources of information to draw a more comprehensive conclusion. Finally, wastewater surveillance can be useful as an early warning tool, a management tool, and/or a way for investigating vaccination efficacy and spread of new variants.
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Affiliation(s)
- Fatemeh Amereh
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran; (F.A.); (N.M.)
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
| | - Masoud Negahban-Azar
- Department of Environmental Science and Technology, University of Maryland, College Park, MD 20740, USA
| | - Siavash Isazadeh
- Environmental Service, Suez Water North America, Paramus, NJ 07652, USA;
| | - Hossein Dabiri
- Department of Medical Microbiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran;
| | - Najmeh Masihi
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran; (F.A.); (N.M.)
| | - Mahsa Jahangiri-rad
- Water Purification Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran 19168, Iran;
| | - Mohammad Rafiee
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran; (F.A.); (N.M.)
- Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran 35511, Iran
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87
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Basavaraju S, Aswathanarayan JB, Basavegowda M, Somanathan B. Coronavirus: occurrence, surveillance, and persistence in wastewater. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:508. [PMID: 34302225 PMCID: PMC8300075 DOI: 10.1007/s10661-021-09303-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 07/12/2021] [Indexed: 05/02/2023]
Abstract
The coronavirus disease (COVID-19) outbreak reported in China in December 2019 has spread throughout the world. The WHO declared it as a pandemic in March 2020. The pandemic severely affected public health and the global economy. Many studies conducted on the coronavirus have helped us to elucidate its pathogenicity and pathophysiology. However, it is important to study the behavior of the pathogen in the environment to develop effective control measures. While studying the persistence and transmission of viruses in drinking water and wastewater systems, a low concentration of coronavirus and its nucleic acids have been detected in municipal wastewaters. This could be due to their high susceptibilities to degradation in aqueous environments. Epidemiological study on coronaviruses in wastewater will serve two purposes, i.e., in early detection of outbreak and in identifying asymptomatic carriers. In such cases, the epidemiological study will help in early detection of the presence of the virus in the community. Secondly, it will help in knowing if there are asymptomatic carriers, as such people do not show any signs of symptoms but shed the viruses in feces. The present review focuses on the epidemiological surveillance of wastewater for coronaviruses, as in recent years these are increasingly causing global pandemics. In this review we have discussed, the four pertinent areas of coronavirus study: (1) occurrence of coronavirus in wastewater, (2) wastewater based epidemiological surveillance of coronaviruses, (3) epidemiological surveillance tools used for detection of coronaviruses in sewage, and (4) persistence and sustainability of coronaviruses in wastewater.
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Affiliation(s)
| | - Jamuna Bai Aswathanarayan
- Department of Microbiology, Faculty of Life Science, JSS Academy of Higher Education, Mysore, 570015, India.
| | - Madhu Basavegowda
- Department of Community Medicine, JSS Medical College, JSS AHER, Mysore, 570015, India
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88
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Li X, Zhang S, Shi J, Luby SP, Jiang G. Uncertainties in estimating SARS-CoV-2 prevalence by wastewater-based epidemiology. CHEMICAL ENGINEERING JOURNAL (LAUSANNE, SWITZERLAND : 1996) 2021; 415:129039. [PMID: 33642938 PMCID: PMC7896122 DOI: 10.1016/j.cej.2021.129039] [Citation(s) in RCA: 105] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/03/2021] [Accepted: 02/15/2021] [Indexed: 05/05/2023]
Abstract
Wastewater-based epidemiology (WBE) is a promising approach for estimating population-wide COVID-19 prevalence through detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater. However, various methodological challenges associated with WBE would affect the accuracy of prevalence estimation. To date, the overall uncertainty of WBE and the impact of each step on the prevalence estimation are largely unknown. This study divided the WBE approach into five steps (i.e., virus shedding; in-sewer transportation; sampling and storage; analysis of SARS-CoV-2 RNA concentration in wastewater; back-estimation) and further summarized and quantified the uncertainties associated with each step through a systematic review. Although the shedding of SARS-CoV-2 RNA varied greatly between COVID-19 positive patients, with more than 10 infected persons in the catchment area, the uncertainty caused by the excretion rate became limited for the prevalence estimation. Using a high-frequency flow-proportional sampling and estimating the prevalence through actual water usage data significantly reduced the overall uncertainties to around 20-40% (relative standard deviation, RSD). And under such a scenario, the analytical uncertainty of SARS-CoV-2 RNA in wastewater was the dominant factor. This highlights the importance of using surrogate viruses as internal or external standards during the wastewater analysis, and the need for further improvement on analytical approaches to minimize the analytical uncertainty. This study supports the application of WBE as a complementary surveillance strategy for monitoring COVID-19 prevalence and provides methodological improvements and suggestions to enhance the reliability for future studies.
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Affiliation(s)
- Xuan Li
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia
| | - Shuxin Zhang
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia
| | - Jiahua Shi
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia
| | - Stephen P Luby
- Woods Institute for the Environment, Stanford University, United States
| | - Guangming Jiang
- School of Civil, Mining and Environmental Engineering, University of Wollongong, Australia
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, Australia
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89
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Giacobbo A, Rodrigues MAS, Zoppas Ferreira J, Bernardes AM, de Pinho MN. A critical review on SARS-CoV-2 infectivity in water and wastewater. What do we know? THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 774:145721. [PMID: 33610994 PMCID: PMC7870439 DOI: 10.1016/j.scitotenv.2021.145721] [Citation(s) in RCA: 77] [Impact Index Per Article: 25.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/01/2021] [Accepted: 02/04/2021] [Indexed: 04/14/2023]
Abstract
The COVID-19 outbreak circulating the world is far from being controlled, and possible contamination routes are still being studied. There are no confirmed cases yet, but little is known about the infection possibility via contact with sewage or contaminated water as well as with aerosols generated during the pumping and treatment of these aqueous matrices. Therefore, this article presents a literature review on the detection of SARS-CoV-2 in human excreta and its pathways through the sewer system and wastewater treatment plants until it reaches the water bodies, highlighting their occurrence and infectivity in sewage and natural water. Research lines are still indicated, which we believe are important for improving the detection, quantification, and mainly the infectivity analyzes of SARS-CoV-2 and other enveloped viruses in sewage and natural water. In fact, up till now, no case of transmission via contact with sewage or contaminated water has been reported and the few studies conducted with these aqueous matrices have not detected infectious viruses. On the other hand, studies are showing that SARS-CoV-2 can remain viable, i.e., infectious, for up to 4.3 and 6 days in sewage and water, respectively, and that other species of coronavirus may remain viable in these aqueous matrices for more than one year, depending on the sample conditions. These are strong pieces of evidence that the contamination mediated by contact with sewage or contaminated water cannot be ruled out, even because other more resistant and infectious mutations of SARS-CoV-2 may appear.
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Affiliation(s)
- Alexandre Giacobbo
- Post-Graduation Program in Mining, Metallurgical and Materials Engineering (PPGE3M), Federal University of Rio Grande do Sul (UFRGS), Av. Bento Gonçalves, n. 9500, Agronomia, Porto Alegre, RS 91509-900, Brazil; Center of Physics and Engineering of Advanced Materials (CeFEMA), Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, n. 1, Lisbon 1049-001, Portugal.
| | - Marco Antônio Siqueira Rodrigues
- Post-Graduation Program in Materials Technology and Industrial Processes, Pure Sciences and Technology Institute, Feevale University, Rodovia RS-239, n. 2755, Vila Nova, Novo Hamburgo, RS 93525-075, Brazil.
| | - Jane Zoppas Ferreira
- Post-Graduation Program in Mining, Metallurgical and Materials Engineering (PPGE3M), Federal University of Rio Grande do Sul (UFRGS), Av. Bento Gonçalves, n. 9500, Agronomia, Porto Alegre, RS 91509-900, Brazil.
| | - Andréa Moura Bernardes
- Post-Graduation Program in Mining, Metallurgical and Materials Engineering (PPGE3M), Federal University of Rio Grande do Sul (UFRGS), Av. Bento Gonçalves, n. 9500, Agronomia, Porto Alegre, RS 91509-900, Brazil.
| | - Maria Norberta de Pinho
- Center of Physics and Engineering of Advanced Materials (CeFEMA), Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, n. 1, Lisbon 1049-001, Portugal; Chemical Engineering Department, Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, n. 1, Lisbon 1049-001, Portugal.
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90
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Wurtz N, Lacoste A, Jardot P, Delache A, Fontaine X, Verlande M, Annessi A, Giraud-Gatineau A, Chaudet H, Fournier PE, Augier P, La Scola B. Viral RNA in City Wastewater as a Key Indicator of COVID-19 Recrudescence and Containment Measures Effectiveness. Front Microbiol 2021; 12:664477. [PMID: 34079532 PMCID: PMC8165276 DOI: 10.3389/fmicb.2021.664477] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/19/2021] [Indexed: 12/26/2022] Open
Abstract
In recent years, and more specifically at the beginning of the COVID-19 crisis, wastewater surveillance has been proposed as a tool to monitor the epidemiology of human viral infections. In the present work, from July to December 2020, the number of copies of SARS-CoV-2 RNA in Marseille's wastewater was correlated with the number of new positive cases diagnosed in our Institute of Infectious Disease, which tested about 20% of the city's population. Number of positive cases and number of copies of SARS-CoV-2 RNA in wastewater were significantly correlated (p = 0.013). During the great epidemic peak, from October to December 2020, the curves of virus in the sewers and the curves of positive diagnoses were perfectly superposed. During the summer period, the superposition of curves was less evident as subject to many confounding factors that were discussed. We also tried to correlate the effect of viral circulation in wastewater with containment measures, probably the most unbiased correlation on their potential inflection effect of epidemic curves. Not only is this correlation not obvious, but it also clearly appears that the drop in cases as well as the drop in the viral load in the sewers occur before the containment measures. In fact, this suggests that there are factors that initiate the end of the epidemic peak independently of the containment measure. These factors will therefore need to be explored more deeply in the future.
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Affiliation(s)
- Nathalie Wurtz
- Aix Marseille Univ, IRD, AP-HM, MEPHI, Marseille, France
- Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
| | | | | | | | - Xavier Fontaine
- Bataillon de Marins-Pompiers de Marseille, Marseille, France
| | - Maxime Verlande
- Bataillon de Marins-Pompiers de Marseille, Marseille, France
| | | | - Audrey Giraud-Gatineau
- Aix Marseille Univ, IRD, AP-HM, MEPHI, Marseille, France
- Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
| | - Hervé Chaudet
- Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
- Aix Marseille Univ, IRD, AP-HM, VITROME, Marseille, France
| | - Pierre-Edouard Fournier
- Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
- Aix Marseille Univ, IRD, AP-HM, VITROME, Marseille, France
| | - Patrick Augier
- Bataillon de Marins-Pompiers de Marseille, Marseille, France
| | - Bernard La Scola
- Aix Marseille Univ, IRD, AP-HM, MEPHI, Marseille, France
- Institut Hospitalo-Universitaire Méditerranée-Infection, Marseille, France
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91
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Ahmed W, Bibby K, D'Aoust PM, Delatolla R, Gerba CP, Haas CN, Hamilton KA, Hewitt J, Julian TR, Kaya D, Monis P, Moulin L, Naughton C, Noble RT, Shrestha A, Tiwari A, Simpson SL, Wurtzer S, Bivins A. Differentiating between the possibility and probability of SARS-CoV-2 transmission associated with wastewater: empirical evidence is needed to substantiate risk. FEMS MICROBES 2021; 2:xtab007. [PMID: 38626275 PMCID: PMC8135732 DOI: 10.1093/femsmc/xtab007] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 04/30/2021] [Indexed: 12/23/2022] Open
Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, QLD 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Patrick M D'Aoust
- Department of Civil Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Robert Delatolla
- Department of Civil Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Charles P Gerba
- Department of Environmental Science, Water and Energy Sustainable Technology Center, University of Arizona, 2959 W. Calle Agua Nueva, Tucson, AZ 85745, USA
| | | | - 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
| | - Joanne Hewitt
- Institute of Environmental Science and Research Ltd (ESR), Porirua, 5240, New Zealand
| | - Timothy R Julian
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf CH-8600, Switzerland
| | - Devrim Kaya
- School of Chemical, Biological, and Environmental Engineering, Oregon State University, 105 SW 26th St #116, Corvallis, OR 97331, USA
| | - Paul Monis
- South Australian Water Corporation, Adelaide, Australia
| | - Laurent Moulin
- Eau de Paris R&D Laboratory. 33 Av. Jean Jaures 94200 Ivry/seine, France
| | - Colleen 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 Institute of Marine Sciences, Morehead City, NC, USA
| | - Abhilasha Shrestha
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
| | - Ananda Tiwari
- Finnish Institute for Health and Welfare, Expert Microbiology Unit, Kuopio, Finland
| | | | - Sebastien Wurtzer
- Eau de Paris R&D Laboratory. 33 Av. Jean Jaures 94200 Ivry/seine, France
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
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92
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Keshaviah A, Hu XC, Henry M. Developing a Flexible National Wastewater Surveillance System for COVID-19 and Beyond. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:45002. [PMID: 33877858 PMCID: PMC8057681 DOI: 10.1289/ehp8572] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 03/04/2021] [Accepted: 03/26/2021] [Indexed: 05/02/2023]
Abstract
BACKGROUND Wastewater testing offers a cost-effective strategy for measuring population disease prevalence and health behaviors. For COVID-19, wastewater surveillance addresses testing gaps and provides an early warning for outbreaks. As U.S. federal agencies build a National Wastewater Surveillance System around the pandemic, thinking through ways to develop flexible frameworks for wastewater sampling, testing, and reporting can avoid unnecessary system overhauls for future infectious disease, chronic disease, and drug epidemics. OBJECTIVES We discuss ways to transform a historically academic exercise into a tool for epidemic response. We generalize lessons learned by a global network of wastewater researchers around validation and implementation for COVID-19 and opioids while also drawing on our experience with wastewater-based epidemiology in the United States. DISCUSSION Sustainable wastewater surveillance requires coordination between health and safety officials, utilities, labs, and researchers. Adapting sampling frequency, type, and location to threat level, community vulnerability, biomarker properties, and decisions that wastewater data will inform can increase the practical value of the data. Marketplace instabilities, coupled with a fragmented testing landscape due to specialization, may require officials to engage multiple labs to test for known and unknown threats. Government funding can stabilize the market, balancing commercial pressures with public good, and incentivize data sharing. When reporting results, standardizing metrics and contextualizing wastewater data with health resource data can provide insights into a community's vulnerability and identify strategies to prevent health care systems from being overwhelmed. If wastewater data will inform policy decisions for an entire community, comparing characteristics of the wastewater treatment plant's service population to those of the larger community can help determine whether the wastewater data are generalizable. Ethical protocols may be needed to protect privacy and avoid stigmatization. With data-driven approaches to sample collection, analysis, and interpretation, officials can use wastewater surveillance for adaptive resource allocation, pandemic management, and program evaluation. https://doi.org/10.1289/EHP8572.
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93
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Ahmed W, Tscharke B, Bertsch PM, Bibby K, Bivins A, Choi P, Clarke L, Dwyer J, Edson J, Nguyen TMH, O'Brien JW, Simpson SL, Sherman P, Thomas KV, Verhagen R, Zaugg J, Mueller JF. SARS-CoV-2 RNA monitoring in wastewater as a potential early warning system for COVID-19 transmission in the community: A temporal case study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:144216. [PMID: 33360129 PMCID: PMC7718102 DOI: 10.1016/j.scitotenv.2020.144216] [Citation(s) in RCA: 173] [Impact Index Per Article: 57.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/30/2020] [Accepted: 11/30/2020] [Indexed: 05/14/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus which causes coronavirus disease (COVID-19), has spread rapidly across the globe infecting millions of people and causing significant health and economic impacts. Authorities are exploring complimentary approaches to monitor this infectious disease at the community level. Wastewater-based epidemiology (WBE) approaches to detect SARS-CoV-2 RNA in municipal wastewater are being implemented worldwide as an environmental surveillance approach to inform health authority decision-making. Owing to the extended excretion of SARS-CoV-2 RNA in stool, WBE can surveil large populated areas with a longer detection window providing unique information on the presence of pre-symptomatic and asymptomatic cases that are unlikely to be screened by clinical testing. Herein, we analysed SARS-CoV-2 RNA in 24-h composite wastewater samples (n = 63) from three wastewater treatment plants (WWTPs) in Brisbane, Queensland, Australia from 24th of February to 1st of May 2020. A total of 21 samples were positive for SARS-CoV-2, ranging from 135 to 11,992 gene copies (GC)/100 mL of wastewater. Detections were made in a Southern Brisbane WWTP in late February 2020, up to three weeks before the first clininal case was reported there. Wastewater samples were generally positive during the period with highest caseload data. The positive SARS-CoV-2 RNA detection in wastewater while there were limited clinical reported cases demonstrates the potential of WBE as an early warning system to identify hotspots and target localised public health responses, such as increased individual testing and the provision of health warnings.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia.
| | - Ben Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, 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
| | - Phil Choi
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Leah Clarke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Jason Dwyer
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Janette Edson
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Thi Minh Hong Nguyen
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Jake W O'Brien
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | | | - Paul Sherman
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Rory Verhagen
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Julian Zaugg
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
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