1
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Zeng J, Desmond P, Ngo HH, Lin W, Liu X, Liu B, Li G, Ding A. Membrane modification in enhancement of virus removal: A critical review. J Environ Sci (China) 2024; 146:198-216. [PMID: 38969448 DOI: 10.1016/j.jes.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 07/07/2024]
Abstract
Many waterborne diseases are related with viruses, and COVID-19 worldwide has raised the concern of virus security in water into the public horizon. Compared to other conventional water treatment processes, membrane technology can achieve satisfactory virus removal with fewer chemicals, and prevent the outbreaks of viruses to a maximal extent. Researchers developed new modification methods to improve membrane performance. This review focused on the membrane modifications that enhance the performance in virus removal. The characteristics of viruses and their removal by membrane filtration were briefly generalized, and membrane modifications were systematically discussed through different virus removal mechanisms, including size exclusion, hydrophilic and hydrophobic interactions, electronic interactions, and inactivation. Advanced functional materials for membrane modification were summarized based on their nature. Furthermore, it is suggested that membranes should be enhanced through different mechanisms mainly based on their ranks of pore size. The current review provided theoretical support regarding membrane modifications in the enhancement of virus removal and avenues for practical application.
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Affiliation(s)
- Jie Zeng
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Peter Desmond
- Institute of Environmental Engineering (ISA), RWTH Aachen University, Aachen 52056, Germany
| | - Huu Hao Ngo
- Faculty of Engineering, University of Technology Sydney, Sydney 2007, Australia
| | - Wei Lin
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Xiao Liu
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Bingsheng Liu
- The Second Construction Co. Ltd. of China Construction Third Engineering Bureau, China
| | - Guibai Li
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - An Ding
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China.
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2
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Hayes EK, Gagnon GA. From capture to detection: A critical review of passive sampling techniques for pathogen surveillance in water and wastewater. WATER RESEARCH 2024; 261:122024. [PMID: 38986282 DOI: 10.1016/j.watres.2024.122024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/05/2024] [Accepted: 06/29/2024] [Indexed: 07/12/2024]
Abstract
Water quality, critical for human survival and well-being, necessitates rigorous control to mitigate contamination risks, particularly from pathogens amid expanding urbanization. Consequently, the necessity to maintain the microbiological safety of water supplies demands effective surveillance strategies, reliant on the collection of representative samples and precise measurement of contaminants. This review critically examines the advancements of passive sampling techniques for monitoring pathogens in various water systems, including wastewater, freshwater, and seawater. We explore the evolution from conventional materials to innovative adsorbents for pathogen capture and the shift from culture-based to molecular detection methods, underscoring the adaptation of this field to global health challenges. The comparison highlights passive sampling's efficacy over conventional techniques like grab sampling and its potential to overcome existing sampling challenges through the use of innovative materials such as granular activated carbon, thermoplastics, and polymer membranes. By critically evaluating the literature, this work identifies standardization gaps and proposes future research directions to augment passive sampling's efficiency, specificity, and utility in environmental and public health surveillance.
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Affiliation(s)
- Emalie K Hayes
- Centre for Water Resources Studies, Department of Civil & Resource Engineering, Dalhousie University, 1360 Barrington Street, Halifax, Nova Scotia B3H 4R2, Canada
| | - Graham A Gagnon
- Centre for Water Resources Studies, Department of Civil & Resource Engineering, Dalhousie University, 1360 Barrington Street, Halifax, Nova Scotia B3H 4R2, Canada.
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3
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Wang Y, Ni G, Tian W, Wang H, Li J, Thai P, Choi PM, Jackson G, Hu S, Yang B, Guo J. Wastewater tiling amplicon sequencing in sentinel sites reveals longitudinal dynamics of SARS-CoV-2 variants prevalence. WATER RESEARCH X 2024; 23:100224. [PMID: 38711798 PMCID: PMC11070618 DOI: 10.1016/j.wroa.2024.100224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 05/08/2024]
Abstract
The ongoing evolution of SARS-CoV-2 is a significant concern, especially with the decrease in clinical sequencing efforts, which impedes the ability of public health sectors to prepare for the emergence of new variants and potential COVID-19 outbreaks. Wastewater-based epidemiology (WBE) has been proposed as a surveillance program to detect and monitor the SARS-CoV-2 variants being transmitted in communities. However, research is limited in evaluating the effectiveness of wastewater collection at sentinel sites for monitoring disease prevalence and variant dynamics, especially in terms of inferring the epidemic patterns on a broader scale, such as at the state/province level. This study utilized a multiplexed tiling amplicon-based sequencing (ATOPlex) to track the longitudinal dynamics of variant of concern (VOC) in wastewater collected from municipalities in Queensland, Australia, spanning from 2020 to 2022. We demonstrated that wastewater epidemiology measured by ATOPlex exhibited a strong and consistent correlation with the number of daily confirmed cases. The VOC dynamics observed in wastewater closely aligned with the dynamic profile reported by clinical sequencing. Wastewater sequencing has the potential to provide early warning information for emerging variants. These findings suggest that WBE at sentinel sites, coupled with sensitive sequencing methods, provides a reliable and long-term disease surveillance strategy.
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Affiliation(s)
- Yu Wang
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
| | - Gaofeng Ni
- Department of Microbiology, Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
| | - Wei Tian
- MGI Australia Pty Ltd, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia
| | - Haofei Wang
- MGI Australia Pty Ltd, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia
| | - Jiaying Li
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Queensland, Australia
| | - Phong Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Brisbane, Queensland, Australia
| | - Phil M. Choi
- Water Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia
| | - Greg Jackson
- Water Unit, Health Protection Branch, Queensland Public Health and Scientific Services, Queensland Health, Brisbane, Queensland, Australia
| | - Shihu Hu
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
| | - Bicheng Yang
- MGI Australia Pty Ltd, 300 Herston Road, Herston, Brisbane, QLD 4006, Australia
| | - Jianhua Guo
- Australian Centre for Water and Environmental Biotechnology, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia
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4
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Cha G, Zhu KJ, Fischer JM, Flores CI, Brown J, Pinto A, Hatt JK, Konstantinidis KT, Graham KE. Metagenomic evaluation of the performance of passive Moore swabs for sewage monitoring relative to composite sampling over time resolved deployments. WATER RESEARCH 2024; 253:121269. [PMID: 38359595 DOI: 10.1016/j.watres.2024.121269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 01/07/2024] [Accepted: 02/05/2024] [Indexed: 02/17/2024]
Abstract
Moore swabs have re-emerged as a versatile tool in the field of wastewater-based epidemiology during the COVID-19 pandemic and offer unique advantages for monitoring pathogens in sewer systems, especially at the neighborhood-level. However, whether Moore swabs provide comparable results to more commonly used composite samples remains to be rigorously tested including the optimal duration of Moore swab deployment. This study provides new insights into these issues by comparing the results from Moore swab samples to those of paired composite samples collected from the same sewer lines continuously over six to seventy-two hours post-deployment, during low COVID-19 prevalence periods. Our results show that Moore swabs accumulated approximately 10-fold higher PMMoV concentrations (on a basis of mL of Moore swab squeezed filtrate to mL of composite sewage) and showed comparable trends in terms of bacterial species abundance when compared to composite samples. Moore swabs also generally captured higher SARS-CoV-2 N1/N2 RNA concentrations than composite samples. Moore swabs showed comparable trends in terms of abundance dynamics of the sewage microbiome to composite samples and variable signs of saturation over time that were site and/or microbial population-specific. Based on our dual ddRT-PCR and shotgun metagenomic approach, we find that Moore swabs at our sites were optimally deployed for 6 h at a time at two sites.
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Affiliation(s)
- Gyuhyon Cha
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Kevin J Zhu
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
| | - Jamie M Fischer
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Camryn I Flores
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Joe Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
| | - Ameet Pinto
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Janet K Hatt
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | | | - Katherine E Graham
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
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5
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Geissler M, Mayer R, Helm B, Dumke R. Food and Environmental Virology: Use of Passive Sampling to Characterize the Presence of SARS-CoV-2 and Other Viruses in Wastewater. FOOD AND ENVIRONMENTAL VIROLOGY 2024; 16:25-37. [PMID: 38117471 DOI: 10.1007/s12560-023-09572-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/18/2023] [Indexed: 12/21/2023]
Abstract
Fecal shedding of SARS-CoV-2 leads to a renaissance of wastewater-based epidemiology (WBE) as additional tool to follow epidemiological trends in the catchment of treatment plants. As alternative to the most commonly used composite samples in surveillance programs, passive sampling is increasingly studied. However, the many sorbent materials in different reports hamper the comparison of results and a standardization of the approach is necessary. Here, we compared different cost-effective sorption materials (cheesecloths, gauze swabs, electronegative filters, glass wool, and tampons) in torpedo-style housings with composite samples. Despite a remarkable variability of the concentration of SARS-CoV-2-specific gene copies, analysis of parallel-deposited passive samplers in the sewer demonstrated highest rate of positive samples and highest number of copies by using cheesecloths. Using this sorption material, monitoring of wastewater of three small catchments in the City of Dresden resulted in a rate of positive samples of 50% in comparison with composite samples (98%). During the investigation period, incidence of reported cases of SARS-CoV-2 in the catchments ranged between 16 and 170 per 100,000 persons and showed no correlation with the measured concentrations of E gene in wastewater. In contrast, constantly higher numbers of gene copies in passive vs. composite samples were found for human adenovirus and crAssphage indicating strong differences of efficacy of methods concerning the species investigated. Influenza virus A and B were sporadically detected allowing no comparison of results. The study contributes to the further understanding of possibilities and limits of passive sampling approaches in WBE.
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Affiliation(s)
- Michael Geissler
- Institute of Medical Microbiology and Virology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Robin Mayer
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, Dresden, Germany
| | - Björn Helm
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, Dresden, Germany
| | - Roger Dumke
- Institute of Medical Microbiology and Virology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
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6
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Haskell BR, Dhiyebi HA, Srikanthan N, Bragg LM, Parker WJ, Giesy JP, Servos MR. Implementing an adaptive, two-tiered SARS-CoV-2 wastewater surveillance program on a university campus using passive sampling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168998. [PMID: 38040360 DOI: 10.1016/j.scitotenv.2023.168998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/03/2023]
Abstract
Building-level wastewater-based surveillance (WBS) has been increasingly applied upstream from wastewater treatment plants to conduct targeted monitoring for SARS-CoV-2. In this study, a two-tiered, trigger-based wastewater surveillance program was developed on a university campus to monitor dormitory wastewater. The objective was to determine if passive sampling with cotton gauze as a sampling medium could be used to support institution-level public health action. Two nucleocapsid gene targets (N1 and N2) of SARS-CoV-2 as well as the endogenous fecal indicator pepper mild mottle virus (PMMoV) were quantified using RT-qPCR. >500 samples were analyzed during two contrasting surveillance periods. In the Fall of 2021 community viral burden was low and a tiered sampling network was able to isolate individual clinical cases at the building-scale. In the Winter of 2022 wastewater signals were quickly elevated by the emergence of the highly transmissible SARS-CoV-2 Omicron (B.1.1.529) variant. Prevalence of SARS-CoV-2 shifted surveillance objectives from isolating cases to monitoring trends, revealing both the benefits and limitations of a tiered surveillance design under different public health situations. Normalization of SARS-CoV-2 by PMMoV was not reflective of upstream population differences, suggesting saturation of the material occurred during the exposure period. The passive sampling method detected nearly all known clinical cases and in one instance was able to identify one pre-symptomatic individual days prior to confirmation by clinical test. Comparisons between campus samplers and municipal wastewater influent suggests that the spread of COVID-19 on the campus was similar to that of the broader community. The results demonstrate that passive sampling is an effective tool that can produce semi-quantitative data capable of tracking temporal trends to guide targeted public health decision-making at an institutional level. Practitioners of WBS can utilize these results to inform surveillance program designs that prioritize efficient resource use and rapid reporting.
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Affiliation(s)
- Blake R Haskell
- Department of Biology, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
| | - Hadi A Dhiyebi
- Department of Biology, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
| | - Nivetha Srikanthan
- Department of Biology, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada
| | - Leslie M Bragg
- Department of Biology, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
| | - Wayne J Parker
- Department of Civil and Environmental Engineering, University of Waterloo, 200 University Ave. W, Waterloo, ON N2L 3G1, Canada.
| | - John P Giesy
- Toxicology Centre, University of Saskatchewan, 44 Campus Dr., Saskatoon, Saskatchewan S7N 5B3, Canada; Department of Environmental Science, Baylor University, 1 Bear Trail, Waco, TX 76798, USA
| | - Mark R Servos
- Department of Biology, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
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7
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Tran DPH, You BC, Liu CW, Chen YN, Wang YF, Chung SN, Lee JJ, You SJ. Identifying spatiotemporal trends of SARS-CoV-2 RNA in wastewater: from the perspective of upstream and downstream wastewater-based epidemiology (WBE). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:11576-11590. [PMID: 38221556 DOI: 10.1007/s11356-023-31769-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 12/25/2023] [Indexed: 01/16/2024]
Abstract
Recently, many efforts have been made to address the rapid spread of newly identified COVID-19 virus variants. Wastewater-based epidemiology (WBE) is considered a potential early warning tool for identifying the rapid spread of this virus. This study investigated the occurrence of SARS-CoV-2 in eight wastewater treatment plants (WWTPs) and their sewerage systems which serve most of the population in Taoyuan City, Taiwan. Across the entire study period, the wastewater viral concentrations were correlated with the number of COVID-19 cases in each WWTP (Spearman's r = 0.23-0.76). In addition, it is confirmed that several treatment technologies could effectively eliminate the virus RNA from WWTP influent (> 90%). On the other hand, further results revealed that an inverse distance weighted (IDW) interpolation and hotspot model combined with the geographic information system (GIS) method could be applied to analyze the spatiotemporal variations of SARS-CoV-2 in wastewater from the sewer system. In addition, socio-economic factors, namely, population density, land use, and income tax were successfully identified as the potential drivers which substantially affected the onset of the COVID-19 outbreak in Taiwan. Finally, the data obtained from this study can provide a powerful tool in public health decision-making not only in response to the current epidemic situation but also to other epidemic issues in the future.
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Affiliation(s)
- Duyen Phuc-Hanh Tran
- Department of Civil Engineering, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
- Center for Environmental Risk Management, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
| | - Bo-Cheng You
- Center for Environmental Risk Management, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
- Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
| | - Chen-Wuing Liu
- Department of Water Resource, Taoyuan City Government, Taoyuan City, 320, Taiwan, Republic of China
| | - Yi-Ning Chen
- Department of Bioscience Technology, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
| | - Ya-Fen Wang
- Center for Environmental Risk Management, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
- Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China
| | - Shu-Nu Chung
- Department of Water Resource, Taoyuan City Government, Taoyuan City, 320, Taiwan, Republic of China
| | - Jin-Jing Lee
- Department of Water Resource, Taoyuan City Government, Taoyuan City, 320, Taiwan, Republic of China
| | - Sheng-Jie You
- Center for Environmental Risk Management, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China.
- Department of Environmental Engineering, Chung Yuan Christian University, Taoyuan City, 320, Taiwan, Republic of China.
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8
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Lau M, King BJ, Keegan A, Drigo B, Donner E, Monis P. Comparison of kits for SARS-CoV-2 extraction in liquid and passive samples. Lett Appl Microbiol 2023; 76:ovad136. [PMID: 38066699 DOI: 10.1093/lambio/ovad136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/19/2023] [Accepted: 12/07/2023] [Indexed: 12/20/2023]
Abstract
Effective extraction and detection of viral nucleic acids from sewage are fundamental components of a successful SARS-CoV-2 sewage surveillance programme. As there is no standard method employed in sewage surveillance, understanding the performance of different extraction kits in the recovery of SARS-CoV-2 and the impact that PCR inhibitors have on quantification is essential to minimize data discrepancies caused by sample extraction. Three commercial nucleic acid extraction kits: the RNeasy PowerSoil Total RNA Kit (PS), the RNeasy PowerMicrobiome Kit (PMB), and the MagMAX™ Microbiome Ultra Nucleic Acid Isolation Kit (MM), with minor modifications, were evaluated. Their efficacy in recovering viral ribonucleic acid and removal of PCR inhibitors was assessed using two South Australian wastewater matrices-one from a major metropolitan site and one from a regional centre. Both had SARS-CoV-2 present due to active COVID-19 cases in these communities. Overall, the MM kit had a higher recovery of SARS-CoV-2 from the samples tested, followed by PMB and PS. The PMB kit performance was strongly influenced by the sample matrix when compared to the MM kit. It is recommended to assess the performance of extraction kits using different local wastewater matrices to ensure the accuracy and reliability of monitoring results to avoid false reporting.
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Affiliation(s)
- Melody Lau
- SA Water Utility, 250 Victoria Square, Adelaide SA 5000, Australia
- Future Industries Institute, University of South Australia, Adelaide, SA, 5001, Australia
| | - Brendon J King
- SA Water Utility, 250 Victoria Square, Adelaide SA 5000, Australia
| | - Alexandra Keegan
- SA Water Utility, 250 Victoria Square, Adelaide SA 5000, Australia
| | - Barbara Drigo
- Future Industries Institute, University of South Australia, Adelaide, SA, 5001, Australia
- UniSA STEM, University of South Australia, Adelaide, SA 5001, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Adelaide, SA, 5001, Australia
- Cooperative Research Centre for Solving Antimicrobial resistance in Agribusiness, Food, and Environments (CRC SAAFE), Adelaide, SA 5001, Australia
| | - Paul Monis
- SA Water Utility, 250 Victoria Square, Adelaide SA 5000, Australia
- Future Industries Institute, University of South Australia, Adelaide, SA, 5001, Australia
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9
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Parida VK, Saidulu D, Bhatnagar A, Gupta AK, Afzal MS. A critical assessment of SARS-CoV-2 in aqueous environment: Existence, detection, survival, wastewater-based surveillance, inactivation methods, and effective management of COVID-19. CHEMOSPHERE 2023; 327:138503. [PMID: 36965534 PMCID: PMC10035368 DOI: 10.1016/j.chemosphere.2023.138503] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/08/2023] [Accepted: 03/22/2023] [Indexed: 06/01/2023]
Abstract
In early January 2020, the causal agent of unspecified pneumonia cases detected in China and elsewhere was identified as a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and was the major cause of the COVID-19 outbreak. Later, the World Health Organization (WHO) proclaimed the COVID-19 pandemic a worldwide public health emergency on January 30, 2020. Since then, many studies have been published on this topic. In the present study, bibliometric analysis has been performed to analyze the research hotspots of the coronavirus. Coronavirus transmission, detection methods, potential risks of infection, and effective management practices have been discussed in the present review. Identification and quantification of SARS-CoV-2 viral loads in various water matrices have been reviewed. It was observed that the viral shedding through urine and feces of COVID-19-infected patients might be a primary mode of SARS-CoV-2 transmission in water and wastewater. In this context, the present review highlights wastewater-based epidemiology (WBE)/sewage surveillance, which can be utilized as an effective tool for tracking the transmission of COVID-19. This review also emphasizes the role of different disinfection techniques, such as chlorination, ultraviolet irradiation, and ozonation, for the inactivation of coronavirus. In addition, the application of computational modeling methods has been discussed for the effective management of COVID-19.
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Affiliation(s)
- Vishal Kumar Parida
- School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Duduku Saidulu
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
| | - Amit Bhatnagar
- Department of Separation Science, LUT School of Engineering Science, LUT University, Sammonkatu 12, Mikkeli FI-50130, Finland.
| | - Ashok Kumar Gupta
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India.
| | - Mohammad Saud Afzal
- Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
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10
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Corchis-Scott R, Geng Q, Al Riahi AM, Labak A, Podadera A, Ng KKS, Porter LA, Tong Y, Dixon JC, Menard SL, Seth R, McKay RM. Actionable wastewater surveillance: application to a university residence hall during the transition between Delta and Omicron resurgences of COVID-19. Front Public Health 2023; 11:1139423. [PMID: 37265515 PMCID: PMC10230041 DOI: 10.3389/fpubh.2023.1139423] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/28/2023] [Indexed: 06/03/2023] Open
Abstract
Wastewater surveillance has gained traction during the COVID-19 pandemic as an effective and non-biased means to track community infection. While most surveillance relies on samples collected at municipal wastewater treatment plants, surveillance is more actionable when samples are collected "upstream" where mitigation of transmission is tractable. This report describes the results of wastewater surveillance for SARS-CoV-2 at residence halls on a university campus aimed at preventing outbreak escalation by mitigating community spread. Another goal was to estimate fecal shedding rates of SARS-CoV-2 in a non-clinical setting. Passive sampling devices were deployed in sewer laterals originating from residence halls at a frequency of twice weekly during fall 2021 as the Delta variant of concern continued to circulate across North America. A positive detection as part of routine sampling in late November 2021 triggered daily monitoring and further isolated the signal to a single wing of one residence hall. Detection of SARS-CoV-2 within the wastewater over a period of 3 consecutive days led to a coordinated rapid antigen testing campaign targeting the residence hall occupants and the identification and isolation of infected individuals. With knowledge of the number of individuals testing positive for COVID-19, fecal shedding rates were estimated to range from 3.70 log10 gc ‧ g feces-1 to 5.94 log10 gc ‧ g feces-1. These results reinforce the efficacy of wastewater surveillance as an early indicator of infection in congregate living settings. Detections can trigger public health measures ranging from enhanced communications to targeted coordinated testing and quarantine.
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Affiliation(s)
- Ryland Corchis-Scott
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
| | - Qiudi Geng
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
| | - Abdul Monem Al Riahi
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
| | - Amr Labak
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
| | - Ana Podadera
- Department of Chemistry and Biochemistry, University of Windsor, Windsor, ON, Canada
| | - Kenneth K. S. Ng
- Department of Chemistry and Biochemistry, University of Windsor, Windsor, ON, Canada
| | - Lisa A. Porter
- Department of Biomedical Sciences, University of Windsor, Windsor, ON, Canada
| | - Yufeng Tong
- Department of Chemistry and Biochemistry, University of Windsor, Windsor, ON, Canada
| | - Jess C. Dixon
- Department of Kinesiology, University of Windsor, Windsor, ON, Canada
| | | | - Rajesh Seth
- Civil and Environmental Engineering, University of Windsor, Windsor, ON, Canada
| | - R. Michael McKay
- Great Lakes Institute for Environmental Research, University of Windsor, Windsor, ON, Canada
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11
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Pico-Tomàs A, Mejías-Molina C, Zammit I, Rusiñol M, Bofill-Mas S, Borrego CM, Corominas L. Surveillance of SARS-CoV-2 in sewage from buildings housing residents with different vulnerability levels. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 872:162116. [PMID: 36773920 PMCID: PMC9911146 DOI: 10.1016/j.scitotenv.2023.162116] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 06/18/2023]
Abstract
During the last three years, various restrictions have been set up to limit the transmission of the Coronavirus Disease (COVID-19). While these rules apply at a large scale (e.g., country-wide level) human-to-human transmission of the virus that causes COVID-19, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), occurs at a small scale. Different preventive policies and testing protocols were implemented in buildings where COVID-19 poses a threat (e.g., elderly residences) or constitutes a disruptive force (e.g., schools). In this study, we sampled sewage from different buildings (a school, a university campus, a university residence, and an elderly residence) that host residents of different levels of vulnerability. Our main goal was to assess the agreement between the SARS-CoV-2 concentration in wastewater and the policies applied in these buildings. All buildings were sampled using passive samplers while 24 h composite samples were also collected from the elderly residence. Results showed that passive samplers performed comparably well to composite samples while being cost-effective to keep track of COVID-19 prevalence. In the elderly residence, the comparison of sampling protocols (passive vs. active) combined with the strict clinical testing allowed us to compare the sensitivities of the two methods. Active sampling was more sensitive than passive sampling, as the former was able to detect a COVID-19 prevalence of 0.4 %, compared to a prevalence of 2.2 % for passive sampling. The number of COVID-19-positive individuals was tracked clinically in all the monitored buildings. More frequent detection of SARS-CoV-2 in wastewater was observed in residential buildings than in non-residential buildings using passive samplers. In all buildings, sewage surveillance can be used to complement COVID-19 clinical testing regimes, as the detection of SARS-CoV-2 in wastewater remained positive even when no COVID-19-positive individuals were reported. Passive sampling is useful for building managers to adapt their COVID-19 mitigation policies.
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Affiliation(s)
- Anna Pico-Tomàs
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - Cristina Mejías-Molina
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona, Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Ian Zammit
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain
| | - Marta Rusiñol
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona, Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Sílvia Bofill-Mas
- Laboratory of Viruses Contaminants of Water and Food, Genetics, Microbiology & Statistics Dept., Universitat de Barcelona, Barcelona, Catalonia, Spain; The Water Research Institute (IdRA), Universitat de Barcelona, Barcelona, Catalonia, Spain
| | - Carles M Borrego
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; Group of Molecular Microbial Ecology, Institute of Aquatic Ecology, University of Girona, Girona, Catalonia, Spain
| | - Lluís Corominas
- Catalan Institute for Water Research (ICRA), Emili Grahit 101, 17003 Girona, Spain; University of Girona, Plaça de Sant Domènec 3, 17004 Girona, Spain.
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12
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Wen J, Duan L, Wang B, Dong Q, Liu Y, Huang J, Yu G. Stability and WBE biomarkers possibility of 17 antiviral drugs in sewage and gravity sewers. WATER RESEARCH 2023; 238:120023. [PMID: 37150064 PMCID: PMC10149109 DOI: 10.1016/j.watres.2023.120023] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/31/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
Wastewater-based epidemiology (WBE) is a promising technique for monitoring the rapidly increasing use of antiviral drugs during the COVID-19 pandemic. It is essential to evaluate the in-sewer stability of antiviral drugs in order to determine appropriate biomarkers. This study developed an analytical method for quantification of 17 typical antiviral drugs, and investigated the stability of target compounds in sewer through 4 laboratory-scale gravity sewer reactors. Nine antiviral drugs (lamivudine, acyclovir, amantadine, favipiravir, nevirapine, oseltamivir, ganciclovir, emtricitabine and telbivudine) were observed to be stable and recommended as appropriate biomarkers for WBE. As for the other 8 unstable drugs (abacavir, arbidol, ribavirin, zidovudine, ritonavir, lopinavir, remdesivir and efavirenz), their attenuation was driven by adsorption, biodegradation and diffusion. Moreover, reaction kinetics revealed that the effects of sediments and biofilms were regarded to be independent in gravity sewers, and the rate constants of removal by biofilms was directly proportional to the ratio of surface area against wastewater volume. The study highlighted the potential importance of flow velocity for compound stability, since an increased flow velocity significantly accelerated the removal of unstable biomarkers. In addition, a framework for graded evaluation of biomarker stability was proposed to provide reference for researchers to select suitable WBE biomarkers. Compared with current classification method, this framework considered the influences of residence time and different removal mechanisms, which additionally screened four antiviral drugs as viable WBE biomarkers. This is the first study to report the stability of antiviral drugs in gravity sewers.
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Affiliation(s)
- Jiaqi Wen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory for Emerging Organic Contaminants Control, Beijing Laboratory for Environmental Frontier Technologies, China
| | - Lei Duan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory for Emerging Organic Contaminants Control, Beijing Laboratory for Environmental Frontier Technologies, China
| | - Bin Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory for Emerging Organic Contaminants Control, Beijing Laboratory for Environmental Frontier Technologies, China
| | - Qian Dong
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Yanchen Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jun Huang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory for Emerging Organic Contaminants Control, Beijing Laboratory for Environmental Frontier Technologies, China
| | - Gang Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Beijing Key Laboratory for Emerging Organic Contaminants Control, Beijing Laboratory for Environmental Frontier Technologies, China; Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University at Zhuhai, 519087, China.
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13
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Assoum M, Lau CL, Thai PK, Ahmed W, Mueller JF, Thomas KV, Choi PM, Jackson G, Selvey LA. Wastewater Surveillance Can Function as an Early Warning System for COVID-19 in Low-Incidence Settings. Trop Med Infect Dis 2023; 8:tropicalmed8040211. [PMID: 37104337 PMCID: PMC10143724 DOI: 10.3390/tropicalmed8040211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/07/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023] Open
Abstract
Introduction: During the first two years of the COVID-19 pandemic, Australia implemented a series of international and interstate border restrictions. The state of Queensland experienced limited COVID-19 transmission and relied on lockdowns to stem any emerging COVID-19 outbreaks. However, early detection of new outbreaks was difficult. In this paper, we describe the wastewater surveillance program for SARS-CoV-2 in Queensland, Australia, and report two case studies in which we aimed to assess the potential for this program to provide early warning of new community transmission of COVID-19. Both case studies involved clusters of localised transmission, one originating in a Brisbane suburb (Brisbane Inner West) in July–August 2021, and the other originating in Cairns, North Queensland in February–March 2021. Materials and Methods: Publicly available COVID-19 case data derived from the notifiable conditions (NoCs) registry from the Queensland Health data portal were cleaned and merged spatially with the wastewater surveillance data using statistical area 2 (SA2) codes. The positive predictive value and negative predictive value of wastewater detection for predicting the presence of COVID-19 reported cases were calculated for the two case study sites. Results: Early warnings for local transmission of SARS-CoV-2 through wastewater surveillance were noted in both the Brisbane Inner West cluster and the Cairns cluster. The positive predictive value of wastewater detection for the presence of notified cases of COVID-19 in Brisbane Inner West and Cairns were 71.4% and 50%, respectively. The negative predictive value for Brisbane Inner West and Cairns were 94.7% and 100%, respectively. Conclusions: Our findings highlight the utility of wastewater surveillance as an early warning tool in low COVID-19 transmission settings.
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Affiliation(s)
- Mohamad Assoum
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia
| | - Colleen L. Lau
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia
| | - Phong K. Thai
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia
| | - Jochen F. Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Kevin V. Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, Woolloongabba, QLD 4102, Australia
| | - Phil Min Choi
- Health Protection Branch, Queensland Health, Brisbane, QLD 4006, Australia
| | - Greg Jackson
- Health Protection Branch, Queensland Health, Brisbane, QLD 4006, Australia
| | - Linda A. Selvey
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD 4006, Australia
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14
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Saingam P, Li B, Nguyen Quoc B, Jain T, Bryan A, Winkler MKH. Wastewater surveillance of SARS-CoV-2 at intra-city level demonstrated high resolution in tracking COVID-19 and calibration using chemical indicators. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 866:161467. [PMID: 36626989 PMCID: PMC9825140 DOI: 10.1016/j.scitotenv.2023.161467] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 12/17/2022] [Accepted: 01/04/2023] [Indexed: 05/12/2023]
Abstract
Wastewater-based epidemiology has proven to be a supportive tool to better comprehend the dynamics of the COVID-19 pandemic. As the disease moves into endemic stage, the surveillance at wastewater sub-catchments such as pump station and manholes is providing a novel mechanism to examine the reemergence and to take measures that can prevent the spread. However, there is still a lack of understanding when it comes to wastewater-based epidemiology implementation at the smaller intra-city level for better granularity in data, and dilution effect of rain precipitation at pump stations. For this study, grab samples were collected from six areas of Seattle between March-October 2021. These sampling sites comprised five manholes and one pump station with population ranging from 2580 to 39,502 per manhole/pump station. The wastewater samples were analyzed for SARS-CoV-2 RNA concentrations, and we also obtained the daily COVID-19 cases (from individual clinical testing) for each corresponding sewershed, which ranged from 1 to 12 and the daily incidence varied between 3 and 64 per 100,000 of population. Rain precipitation lowered viral RNA levels and sensitivity of viral detection but wastewater total ammonia (NH4+-N) and phosphate (PO43--P) were shown as potential chemical indicators to calibrate/level out the dilution effect. These chemicals showed the potential in improving the wastewater surveillance capacity of COVID-19.
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Affiliation(s)
- Prakit Saingam
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.
| | - Bo Li
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
| | - Bao Nguyen Quoc
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
| | - Tanisha Jain
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA
| | - Andrew Bryan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Mari K H Winkler
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, USA.
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15
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Cha G, Graham KE, Zhu KJ, Rao G, Lindner BG, Kocaman K, Woo S, D'amico I, Bingham LR, Fischer JM, Flores CI, Spencer JW, Yathiraj P, Chung H, Biliya S, Djeddar N, Burton LJ, Mascuch SJ, Brown J, Bryksin A, Pinto A, Hatt JK, Konstantinidis KT. Parallel deployment of passive and composite samplers for surveillance and variant profiling of SARS-CoV-2 in sewage. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 866:161101. [PMID: 36581284 PMCID: PMC9792180 DOI: 10.1016/j.scitotenv.2022.161101] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/14/2022] [Accepted: 12/17/2022] [Indexed: 05/12/2023]
Abstract
Wastewater-based epidemiology during the COVID-19 pandemic has proven useful for public health decision-making but is often hampered by sampling methodology constraints, particularly at the building- or neighborhood-level. Time-weighted composite samples are commonly used; however, autosamplers are expensive and can be affected by intermittent flows in sub-sewershed contexts. In this study, we compared time-weighted composite, grab, and passive sampling via Moore swabs, at four locations across a college campus to understand the utility of passive sampling. After optimizing the methods for sample handling and processing for viral RNA extraction, we quantified SARS-CoV-2 N1 and N2, as well as a fecal strength indicator, PMMoV, by ddRT-PCR and applied tiled amplicon sequencing of the SARS-CoV-2 genome. Passive samples compared favorably with composite samples in our study area: for samples collected concurrently, 42 % of the samples agreed between Moore swab and composite samples and 58 % of the samples were positive for SARS-CoV-2 using Moore swabs while composite samples were below the limit of detection. Variant profiles from Moore swabs showed a shift from variant BA.1 to BA.2, consistent with in-person saliva samples. These data have implications for the broader implementation of sewage surveillance without advanced sampling technologies and for the utilization of passive sampling approaches for other emerging pathogens.
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Affiliation(s)
- Gyuhyon Cha
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Katherine E Graham
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Kevin J Zhu
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
| | - Gouthami Rao
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
| | - Blake G Lindner
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Kumru Kocaman
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Seongwook Woo
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Isabelle D'amico
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Lilia R Bingham
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Jamie M Fischer
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Camryn I Flores
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - John W Spencer
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Pranav Yathiraj
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Hayong Chung
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Shweta Biliya
- Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30306, USA
| | - Naima Djeddar
- Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30306, USA
| | - Liza J Burton
- Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30306, USA
| | - Samantha J Mascuch
- Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30306, USA
| | - Joe Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7431, USA
| | - Anton Bryksin
- Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA 30306, USA
| | - Ameet Pinto
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Janet K Hatt
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
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16
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Wang Y, Liu P, VanTassell J, Hilton SP, Guo L, Sablon O, Wolfe M, Freeman L, Rose W, Holt C, Browning M, Bryan M, Waller L, Teunis PFM, Moe CL. When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs? WATER RESEARCH 2023; 229:119516. [PMID: 37379453 PMCID: PMC9763902 DOI: 10.1016/j.watres.2022.119516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 12/11/2022] [Accepted: 12/18/2022] [Indexed: 06/30/2023]
Abstract
Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.
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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 30322, 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 30322, 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 30322, USA
| | - Stephen P Hilton
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Lizheng Guo
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Orlando Sablon
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Marlene Wolfe
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Lorenzo Freeman
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Wayne Rose
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Carl Holt
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Mikita Browning
- City of Atlanta Department of Watershed Management, Atlanta, GA 30303, USA
| | - Michael Bryan
- Georgia Department of Public Health, Atlanta, GA 30303, USA
| | - Lance Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Peter F M Teunis
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Christine L Moe
- Center for Global Safe Water, Sanitation, and Hygiene, Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
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17
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Perez-Zabaleta M, Archer A, Khatami K, Jafferali MH, Nandy P, Atasoy M, Birgersson M, Williams C, Cetecioglu Z. Long-term SARS-CoV-2 surveillance in the wastewater of Stockholm: What lessons can be learned from the Swedish perspective? THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160023. [PMID: 36356735 PMCID: PMC9640212 DOI: 10.1016/j.scitotenv.2022.160023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/14/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
Wastewater-based epidemiology (WBE) can be used to track the spread of SARS-CoV-2 in a population. This study presents the learning outcomes from over two-year long monitoring of SARS-CoV-2 in Stockholm, Sweden. The three main wastewater treatment plants in Stockholm, with a total of six inlets, were monitored from April 2020 until June 2022 (in total 600 samples). This spans five major SARS-CoV-2 waves, where WBE data provided early warning signals for each wave. Further, the measured SARS-CoV-2 content in the wastewater correlated significantly with the level of positive COVID-19 tests (r = 0.86; p << 0.0001) measured by widespread testing of the population. Moreover, as a proof-of-concept, six SARS-CoV-2 variants of concern were monitored using hpPCR assay, demonstrating that variants can be traced through wastewater monitoring. During this long-term surveillance, two sampling protocols, two RNA concentration/extraction methods, two calculation approaches, and normalization to the RNA virus Pepper mild mottle virus (PMMoV) were evaluated. In addition, a study of storage conditions was performed, demonstrating that the decay of viral RNA was significantly reduced upon the addition of glycerol to the wastewater before storage at -80 °C. Our results provide valuable information that can facilitate the incorporation of WBE as a prediction tool for possible future outbreaks of SARS-CoV-2 and preparations for future pandemics.
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Affiliation(s)
- Mariel Perez-Zabaleta
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Amena Archer
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Kasra Khatami
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Mohammed Hakim Jafferali
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Prachi Nandy
- Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Merve Atasoy
- Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden
| | - Madeleine Birgersson
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Cecilia Williams
- Department of Protein Science, KTH Royal Institute of Technology, Science for Life Laboratory, Solna, Sweden
| | - Zeynep Cetecioglu
- Department of Industrial Biotechnology, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; Department of Chemical Engineering, KTH Royal Institute of Technology, SE-10044, Sweden.
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18
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Li Y, Miyani B, Zhao L, Spooner M, Gentry Z, Zou Y, Rhodes G, Li H, Kaye A, Norton J, Xagoraraki I. Surveillance of SARS-CoV-2 in nine neighborhood sewersheds in Detroit Tri-County area, United States: Assessing per capita SARS-CoV-2 estimations and COVID-19 incidence. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158350. [PMID: 36041621 PMCID: PMC9419442 DOI: 10.1016/j.scitotenv.2022.158350] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/02/2022] [Accepted: 08/24/2022] [Indexed: 05/14/2023]
Abstract
Wastewater-based epidemiology (WBE) has been suggested as a useful tool to predict the emergence and investigate the extent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we screened appropriate population biomarkers for wastewater SARS-CoV-2 normalization and compared the normalized SARS-CoV-2 values across locations with different demographic characteristics in southeastern Michigan. Wastewater samples were collected between December 2020 and October 2021 from nine neighborhood sewersheds in the Detroit Tri-County area. Using reverse transcriptase droplet digital polymerase chain reaction (RT-ddPCR), concentrations of N1 and N2 genes in the studied sites were quantified, with N1 values ranging from 1.92 × 102 genomic copies/L to 6.87 × 103 gc/L and N2 values ranging from 1.91 × 102 gc/L to 6.45 × 103 gc/L. The strongest correlations were observed with between cumulative COVID-19 cases per capita (referred as COVID-19 incidences thereafter), and SARS-CoV-2 concentrations normalized by total Kjeldahl nitrogen (TKN), creatinine, 5-hydroxyindoleacetic acid (5-HIAA) and xanthine when correlating the per capita SARS-CoV-2 and COVID-19 incidences. When SARS-CoV-2 concentrations in wastewater were normalized and compared with COVID-19 incidences, the differences between neighborhoods of varying demographics were reduced as compared to differences observed when comparing non-normalized SARS-CoV-2 with COVID-19 cases. This indicates when studying the disease burden in communities of different demographics, accurate per capita estimation is of great importance. The study suggests that monitoring selected water quality parameters or biomarkers, along with RNA concentrations in wastewater, will allow adequate data normalization for spatial comparisons, especially in areas where detailed sanitary sewage flows and contributing populations in the catchment areas are not available. This opens the possibility of using WBE to assess community infections in rural areas or the developing world where the contributing population of a sample could be unknown.
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Affiliation(s)
- Yabing Li
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America.
| | - Brijen Miyani
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
| | - Liang Zhao
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
| | - Maddie Spooner
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
| | - Zach Gentry
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
| | - Yangyang Zou
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
| | - Geoff Rhodes
- Department of Plant, Soil and Microbial Sciences, Michigan State University, 1066 Bogue Street, East Lansing, MI 48824, United States of America
| | - Hui Li
- Department of Plant, Soil and Microbial Sciences, Michigan State University, 1066 Bogue Street, East Lansing, MI 48824, United States of America
| | - Andrew Kaye
- CDM Smith, 535 Griswold St, Detroit, MI 48226, United States of America
| | - John Norton
- Great Lakes Water Authority, 735 Randolph, Detroit, MI 48226, United States of America
| | - Irene Xagoraraki
- Department of Civil and Environmental Engineering, Michigan State University, 1449 Engineering Research Ct, East Lansing, MI 48823, United States of America
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Kevill JL, Lambert-Slosarska K, Pellett C, Woodhall N, Richardson-O'Neill I, Pântea I, Alex-Sanders N, Farkas K, Jones DL. Assessment of two types of passive sampler for the efficient recovery of SARS-CoV-2 and other viruses from wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:156580. [PMID: 35690190 PMCID: PMC9181630 DOI: 10.1016/j.scitotenv.2022.156580] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/16/2022] [Accepted: 06/05/2022] [Indexed: 05/26/2023]
Abstract
Wastewater-based epidemiology (WBE) has proven to be a useful surveillance tool during the ongoing SARS-CoV-2 pandemic, and has driven research into evaluating the most reliable and cost-effective techniques for obtaining a representative sample of wastewater. When liquid samples cannot be taken efficiently, passive sampling approaches have been used, however, insufficient data exists on their usefulness for multi-virus capture and recovery. In this study, we compared the virus-binding capacity of two passive samplers (cotton-based tampons and ion exchange filter papers) in two different water types (deionised water and wastewater). Here we focused on the capture of wastewater-associated viruses including Influenza A and B (Flu-A & B), SARS-CoV-2, human adenovirus (AdV), norovirus GII (NoVGII), measles virus (MeV), pepper mild mottle virus (PMMoV), the faecal marker crAssphage and the process control virus Pseudomonas virus phi6. After deployment, we evaluated four different methods to recover viruses from the passive samplers namely, (i) phosphate buffered saline (PBS) elution followed by polyethylene glycol (PEG) precipitation, (ii) beef extract (BE) elution followed by PEG precipitation, (iii) no-elution into PEG precipitation, and (iv) direct extraction. We found that the tampon-based passive samplers had higher viral recoveries in comparison to the filter paper. Overall, the preferred viral recovery method from the tampon passive samplers was the no-elution/PEG precipitation method. Furthermore, we evidenced that non-enveloped viruses had higher percent recoveries from the passive samplers than enveloped viruses. This is the first study of its kind to assess passive sampler and viral recovery methods amongst a plethora of viruses commonly found in wastewater or used as a viral surrogate in wastewater studies.
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Affiliation(s)
- Jessica L Kevill
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK.
| | - Kathryn Lambert-Slosarska
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Cameron Pellett
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Nick Woodhall
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - India Richardson-O'Neill
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Igor Pântea
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Natasha Alex-Sanders
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK
| | - Kata Farkas
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK; School of Ocean Sciences, Bangor University, Menai Bridge, Anglesey LL59 5AB, UK
| | - Davey L Jones
- Centre for Environmental Biotechnology, School of Natural Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK; Food Futures Institute, Murdoch University, 90 South Street, Murdoch, WA 6105, Australia
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