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Patnaik A, Rai SK, Dhaked RK. CRISPR-Cas12a assisted recombinase based strand invading isothermal amplification platform designed for targeted detection of Bacillus anthracis Sterne. Int J Biol Macromol 2024; 263:130216. [PMID: 38378112 DOI: 10.1016/j.ijbiomac.2024.130216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/24/2024] [Accepted: 02/06/2024] [Indexed: 02/22/2024]
Abstract
Detection of a pathogen is crucial prior to all prophylaxis and post exposure treatment, as it can prevent further disease manifestation. In this study, we have developed a nucleic acid pre-amplification based CRISPR diagnostic for detection and surveillance of Bacillus anthracis Sterne. Strand Invasion Based isothermal Amplification (SIBA) platform and Cas12a (CRISPR endo-nuclease) was used to develop CRISPR-SIBA, a multifaceted diagnostic platform. SIBA was employed as the isothermal pre-amplification platform. CRISPR-Cas12a based collateral trans-cleavage reaction was used to ensure and enhance the specificity of the system. Efficiency of the detection system was evaluated by detecting Bacillus anthracis Sterne in complex wastewater sample backgrounds. Previously reported, Prophage 3, Cya and Pag genes of Bacillus anthracis were used as targets for this assay. The amplification system provided reliable and specific detection readout, with a sensitivity limit of 100 colony forming units in 40 min. The endpoint fluorescence from CRISPR collateral cleavage reactions gave a detection limit of 105 to 106 CFUs. The experiments conducted in this study provide the evidence for SIBA's applicability and compatibility with CRISPR-Cas system and its efficiency to specifically detect Bacillus anthracis Sterne. CRISPR-SIBA can be translated into developing cost-effective diagnostics for pathogens in resource constrained settings.
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Affiliation(s)
- Abhinandan Patnaik
- Biotechnology Division, Defence Research & Development Establishment, Jhansi Road, Gwalior 474002, MP, India
| | - Sharad Kumar Rai
- Biotechnology Division, Defence Research & Development Establishment, Jhansi Road, Gwalior 474002, MP, India
| | - Ram Kumar Dhaked
- Biotechnology Division, Defence Research & Development Establishment, Jhansi Road, Gwalior 474002, MP, India.
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2
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Gogoi G, Singh SD, Kalyan E, Koch D, Gogoi P, Kshattry S, Mahanta HJ, Imran M, Pandey R, Bharali P. An interpretative review of the wastewater-based surveillance of the SARS-CoV-2: where do we stand on its presence and concern? Front Microbiol 2024; 15:1338100. [PMID: 38318336 PMCID: PMC10839012 DOI: 10.3389/fmicb.2024.1338100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/09/2024] [Indexed: 02/07/2024] Open
Abstract
Wastewater-based epidemiology (WBE) has been used for monitoring infectious diseases like polio, hepatitis, etc. since the 1940s. It is also being used for tracking the SARS-CoV-2 at the population level. This article aims to compile and assess the information for the qualitative and quantitative detection of the SARS-CoV-2 in wastewater. Based on the globally published studies, we highlight the importance of monitoring SARS-CoV-2 presence/detection in the wastewater and concurrently emphasize the development of early surveillance techniques. SARS-CoV-2 RNA sheds in the human feces, saliva, sputum and mucus that ultimately reaches to the wastewater and brings viral RNA into it. For the detection of the virus in the wastewater, different detection techniques have been optimized and are in use. These are based on serological, biosensor, targeted PCR, and next generation sequencing for whole genome sequencing or targeted amplicon sequencing. The presence of the SARS-CoV-2 RNA in wastewater could be used as a potential tool for early detection and devising the strategies for eradication of the virus before it is spread in the community. Additionally, with the right and timely understanding of viral behavior in the environment, an accurate and instructive model that leverages WBE-derived data may be created. This might help with the creation of technological tools and doable plans of action to lessen the negative effects of current viral epidemics or future potential outbreaks on public health and the economy. Further work toward whether presence of viral load correlates with its ability to induce infection, still needs evidence. The current increasing incidences of JN.1 variant is a case in point for continued early detection and surveillance, including wastewater.
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Affiliation(s)
- Gayatri Gogoi
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sarangthem Dinamani Singh
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
| | - Emon Kalyan
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
| | - Devpratim Koch
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Pronami Gogoi
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
| | - Suman Kshattry
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
| | - Hridoy Jyoti Mahanta
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
- Advanced Computation and Data Sciences Division, CSIR-North East Institute of Science and Technology, Jorhat, Assam, India
| | - Md Imran
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India
| | - Rajesh Pandey
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
- Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), New Delhi, India
| | - Pankaj Bharali
- Center for Infectious Diseases, Biological Science and Technology Division, CSIR-North East Institute of Science and Technology (CSIR-NEIST), Jorhat, Assam, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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3
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Clark EC, Neumann S, Hopkins S, Kostopoulos A, Hagerman L, Dobbins M. Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review. JMIR Public Health Surveill 2024; 10:e49185. [PMID: 38241067 PMCID: PMC10837764 DOI: 10.2196/49185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/06/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND Public health surveillance plays a vital role in informing public health decision-making. The onset of the COVID-19 pandemic in early 2020 caused a widespread shift in public health priorities. Global efforts focused on COVID-19 monitoring and contact tracing. Existing public health programs were interrupted due to physical distancing measures and reallocation of resources. The onset of the COVID-19 pandemic intersected with advancements in technologies that have the potential to support public health surveillance efforts. OBJECTIVE This scoping review aims to explore emergent public health surveillance methods during the early COVID-19 pandemic to characterize the impact of the pandemic on surveillance methods. METHODS A scoping search was conducted in multiple databases and by scanning key government and public health organization websites from March 2020 to January 2022. Published papers and gray literature that described the application of new or revised approaches to public health surveillance were included. Papers that discussed the implications of novel public health surveillance approaches from ethical, legal, security, and equity perspectives were also included. The surveillance subject, method, location, and setting were extracted from each paper to identify trends in surveillance practices. Two public health epidemiologists were invited to provide their perspectives as peer reviewers. RESULTS Of the 14,238 unique papers, a total of 241 papers describing novel surveillance methods and changes to surveillance methods are included. Eighty papers were review papers and 161 were single studies. Overall, the literature heavily featured papers detailing surveillance of COVID-19 transmission (n=187). Surveillance of other infectious diseases was also described, including other pathogens (n=12). Other public health topics included vaccines (n=9), mental health (n=11), substance use (n=4), healthy nutrition (n=1), maternal and child health (n=3), antimicrobial resistance (n=2), and misinformation (n=6). The literature was dominated by applications of digital surveillance, for example, by using big data through mobility tracking and infodemiology (n=163). Wastewater surveillance was also heavily represented (n=48). Other papers described adaptations to programs or methods that existed prior to the COVID-19 pandemic (n=9). The scoping search also found 109 papers that discuss the ethical, legal, security, and equity implications of emerging surveillance methods. The peer reviewer public health epidemiologists noted that additional changes likely exist, beyond what has been reported and available for evidence syntheses. CONCLUSIONS The COVID-19 pandemic accelerated advancements in surveillance and the adoption of new technologies, especially for digital and wastewater surveillance methods. Given the investments in these systems, further applications for public health surveillance are likely. The literature for surveillance methods was dominated by surveillance of infectious diseases, particularly COVID-19. A substantial amount of literature on the ethical, legal, security, and equity implications of these emerging surveillance methods also points to a need for cautious consideration of potential harm.
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Affiliation(s)
- Emily C Clark
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Sophie Neumann
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Stephanie Hopkins
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Alyssa Kostopoulos
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Leah Hagerman
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
| | - Maureen Dobbins
- National Collaborating Centre for Methods and Tools, Hamilton, ON, Canada
- School of Nursing, McMaster University, Hamilton, ON, Canada
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Baz Lomba JA, Pires J, Myrmel M, Arnø JK, Madslien EH, Langlete P, Amato E, Hyllestad S. Effectiveness of environmental surveillance of SARS-CoV-2 as an early-warning system: Update of a systematic review during the second year of the pandemic. JOURNAL OF WATER AND HEALTH 2024; 22:197-234. [PMID: 38295081 PMCID: wh_2023_279 DOI: 10.2166/wh.2023.279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2024]
Abstract
The aim of this updated systematic review was to offer an overview of the effectiveness of environmental surveillance (ES) of SARS-CoV-2 as a potential early-warning system (EWS) for COVID-19 and new variants of concerns (VOCs) during the second year of the pandemic. An updated literature search was conducted to evaluate the added value of ES of SARS-CoV-2 for public health decisions. The search for studies published between June 2021 and July 2022 resulted in 1,588 publications, identifying 331 articles for full-text screening. A total of 151 publications met our inclusion criteria for the assessment of the effectiveness of ES as an EWS and early detection of SARS-CoV-2 variants. We identified a further 30 publications among the grey literature. ES confirms its usefulness as an EWS for detecting new waves of SARS-CoV-2 infection with an average lead time of 1-2 weeks for most of the publication. ES could function as an EWS for new VOCs in areas with no registered cases or limited clinical capacity. Challenges in data harmonization and variant detection require standardized approaches and innovations for improved public health decision-making. ES confirms its potential to support public health decision-making and resource allocation in future outbreaks.
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Affiliation(s)
- Jose Antonio Baz Lomba
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway E-mail:
| | - João Pires
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway; ECDC fellowship Programme, Public Health Microbiology path (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Solna, Sweden
| | - Mette Myrmel
- Faculty of Veterinary Medicine, Virology Unit, Norwegian University of Life Science (NMBU), Oslo, Norway
| | - Jorunn Karterud Arnø
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Elisabeth Henie Madslien
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Petter Langlete
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Ettore Amato
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
| | - Susanne Hyllestad
- Department of Infection Control and Preparedness, Norwegian Institute of Public Health, Oslo, Norway
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5
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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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6
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Ram JL, Shuster W, Gable L, Turner CL, Hartrick J, Vasquez AA, West NW, Bahmani A, David RE. Wastewater Monitoring for Infectious Disease: Intentional Relationships between Academia, the Private Sector, and Local Health Departments for Public Health Preparedness. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6651. [PMID: 37681792 PMCID: PMC10487196 DOI: 10.3390/ijerph20176651] [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: 03/18/2023] [Revised: 06/29/2023] [Accepted: 07/20/2023] [Indexed: 09/09/2023]
Abstract
The public health emergency caused by the COVID-19 pandemic stimulated stakeholders from diverse disciplines and institutions to establish new collaborations to produce informed public health responses to the disease. Wastewater-based epidemiology for COVID-19 grew quickly during the pandemic and required the rapid implementation of such collaborations. The objective of this article is to describe the challenges and results of new relationships developed in Detroit, MI, USA among a medical school and an engineering college at an academic institution (Wayne State University), the local health department (Detroit Health Department), and an environmental services company (LimnoTech) to utilize markers of the COVID-19 virus, SARS-CoV-2, in wastewater for the goal of managing COVID-19 outbreaks. Our collaborative team resolved questions related to sewershed selection, communication of results, and public health responses and addressed technical challenges that included ground-truthing the sewer maps, overcoming supply chain issues, improving the speed and sensitivity of measurements, and training new personnel to deal with a new disease under pandemic conditions. Recognition of our complementary roles and clear communication among the partners enabled city-wide wastewater data to inform public health responses within a few months of the availability of funding in 2020, and to make improvements in sensitivity and understanding to be made as the pandemic progressed and evolved. As a result, the outbreaks of COVID-19 in Detroit in fall and winter 2021-2022 (corresponding to Delta and Omicron variant outbreaks) were tracked in 20 sewersheds. Data comparing community- and hospital-associated sewersheds indicate a one- to two-week advance warning in the community of subsequent peaks in viral markers in hospital sewersheds. The new institutional relationships impelled by the pandemic provide a good basis for continuing collaborations to utilize wastewater-based human and pathogen data for improving the public health in the future.
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Affiliation(s)
- Jeffrey L. Ram
- Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA; (A.A.V.)
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University, Detroit, MI 48201, USA
| | - William Shuster
- College of Engineering, Wayne State University, Detroit, MI 48202, USA;
| | - Lance Gable
- Law School, Wayne State University, Detroit, MI 48202, USA
| | | | | | - Adrian A. Vasquez
- Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA; (A.A.V.)
| | - Nicholas W. West
- Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA; (A.A.V.)
| | - Azadeh Bahmani
- Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA; (A.A.V.)
| | - Randy E. David
- Detroit Health Department, Detroit, MI 48201, USA
- Department of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, Detroit, MI 48201, USA
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7
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Kumar M. Spectrum of environmental surveillance of SARS-CoV-2 fragments: Questions, quests, and conquest. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2022; 30:100401. [PMID: 36339883 PMCID: PMC9617644 DOI: 10.1016/j.coesh.2022.100401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
This works examines the entire spectrum of 'Environmental Surveillance (EnvSurv)' of SARS-CoV-2 fragments i.e. the questions, quests, and conquests of the technology since early year 2020. The prime focus of the present work to document the journey with achieved objectives and remaining ambitions associated with the technology. Despite the EnvSurv may be regarded as the techniques, which rather achieved more than expected, will it win the struggle for its existence or lose its way once the pandemic and fear associated with it completely fades. Pertaining to this discussions, major researched topics were investigated, followed by enlisting of ten bullets of the past experiences along with corresponding challenges, and finally key targets for the techniques are enlisted. The article targets to be a simple guide of the journey of EnvSur in terms of its effectiveness for treatment, infectivity, monitoring & estimation (TIME) till date.
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Affiliation(s)
- Manish Kumar
- Sustainability Cluster, School of Engineering, Enery Agcres, University of Petroleum & Energy Studies, Dehradun, Uttarakhand, 248007, India
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8
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Islam A, Hossen F, Rahman A, Sultana KF, Hasan MN, Haque A, Sosa-Hernández JE, Oyervides-Muñoz MA, Parra-Saldívar R, Ahmed T, Islam T, Dhama K, Sangkham S, Bahadur NM, Reza HM, Jakariya, Al Marzan A, Bhattacharya P, Sonne C, Ahmed F. An opinion on Wastewater-Based Epidemiological Monitoring (WBEM) with Clinical Diagnostic Test (CDT) for detecting high-prevalence areas of community COVID-19 Infections. CURRENT OPINION IN ENVIRONMENTAL SCIENCE & HEALTH 2022; 31:100396. [PMID: 36320818 PMCID: PMC9612100 DOI: 10.1016/j.coesh.2022.100396] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/26/2022] [Accepted: 09/28/2022] [Indexed: 02/17/2024]
Abstract
Wastewater-Based Epidemiological Monitoring (WBEM) is an efficient surveillance tool during the COVID-19 pandemic as it meets all requirements of a complete monitoring system including early warning, tracking the current trend, prevalence of the disease, detection of genetic diversity as well asthe up-surging SARS-CoV-2 new variants with mutations from the wastewater samples. Subsequently, Clinical Diagnostic Test is widely acknowledged as the global gold standard method for disease monitoring, despite several drawbacks such as high diagnosis cost, reporting bias, and the difficulty of tracking asymptomatic patients (silent spreaders of the COVID-19 infection who manifest nosymptoms of the disease). In this current reviewand opinion-based study, we first propose a combined approach) for detecting COVID-19 infection in communities using wastewater and clinical sample testing, which may be feasible and effective as an emerging public health tool for the long-term nationwide surveillance system. The viral concentrations in wastewater samples can be used as indicatorsto monitor ongoing SARS-CoV-2 trends, predict asymptomatic carriers, and detect COVID-19 hotspot areas, while clinical sampleshelp in detecting mostlysymptomaticindividuals for isolating positive cases in communities and validate WBEM protocol for mass vaccination including booster doses for COVID-19.
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Affiliation(s)
- Aminul Islam
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh
| | - Foysal Hossen
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
| | - Arifur Rahman
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
| | - Khandokar Fahmida Sultana
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
| | - Mohammad Nayeem Hasan
- Department of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh
- Joint Rohingya Response Program, Food for the Hungry, Cox's Bazar, Bangladesh
| | - Atiqul Haque
- Key Lab of Animal Epidemiology and Zoonoses of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
- Department of Microbiology, Faculty of Veterinary and Animal Science, Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh
| | | | | | | | - Tanvir Ahmed
- Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh
| | | | - Kuldeep Dhama
- Indian Veterinary Research Institute, Izzatnagar-243 122, Bareilly, Uttar Pradesh, India
| | - Sarawut Sangkham
- Department of Environmental Health, School of Public Health, University of Phayao, Muang District, 56000, Phayao, Thailand
| | - Newaz Mohammed Bahadur
- Department of Applied Chemistry and Chemical Engineering, Noakhali Science and TechnologyUniversity, Noakhali-3814, Bangladesh
| | - Hasan Mahmud Reza
- Department of Pharmaceutical Sciences, North South University, Bashundhara, Dhaka, 1229, Bangladesh
| | - Jakariya
- Department of Environmental Science and Management, North South University, Bashundhara, Dhaka-1229, Bangladesh
| | - Abdullah Al Marzan
- Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Prosun Bhattacharya
- COVID-19 Research@KTH, Department of Sustainable Development, Environmental Science and Engineering, KTH Royal Institute of Technology, Teknikringen 10B, SE 114 28 Stockholm, Sweden
| | - Christian Sonne
- Department of Bioscience, Arctic Research Centre (ARC), Faculty of Science and Technology, Aarhus University, Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Firoz Ahmed
- COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
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9
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Bivins A, Kaya D, Ahmed W, Brown J, Butler C, Greaves J, Leal R, Maas K, Rao G, Sherchan S, Sills D, Sinclair R, Wheeler RT, Mansfeldt C. Passive sampling to scale wastewater surveillance of infectious disease: Lessons learned from COVID-19. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155347. [PMID: 35460780 PMCID: PMC9020839 DOI: 10.1016/j.scitotenv.2022.155347] [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: 03/02/2022] [Revised: 04/05/2022] [Accepted: 04/13/2022] [Indexed: 05/09/2023]
Abstract
Much of what is known and theorized concerning passive sampling techniques has been developed considering chemical analytes. Yet, historically, biological analytes, such as Salmonella typhi, have been collected from wastewater via passive sampling with Moore swabs. In response to the COVID-19 pandemic, passive sampling is re-emerging as a promising technique to monitor SARS-CoV-2 RNA in wastewater. Method comparisons and disease surveillance using composite, grab, and passive sampling for SARS-CoV-2 RNA detection have found passive sampling with a variety of materials routinely produced qualitative results superior to grab samples and useful for sub-sewershed surveillance of COVID-19. Among individual studies, SARS-CoV-2 RNA concentrations derived from passive samplers demonstrated heterogeneous correlation with concentrations from paired composite samples ranging from weak (R2 = 0.27, 0.31) to moderate (R2 = 0.59) to strong (R2 = 0.76). Among passive sampler materials, electronegative membranes have shown great promise with linear uptake of SARS-CoV-2 RNA observed for exposure durations of 24 to 48 h and in several cases RNA positivity on par with composite samples. Continuing development of passive sampling methods for the surveillance of infectious diseases via diverse forms of fecal waste should focus on optimizing sampler materials for the efficient uptake and recovery of biological analytes, kit-free extraction, and resource-efficient testing methods capable of rapidly producing qualitative or quantitative data. With such refinements passive sampling could prove to be a fundamental tool for scaling wastewater surveillance of infectious disease, especially among the 1.8 billion persons living in low-resource settings served by non-traditional wastewater collection infrastructure.
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Affiliation(s)
- Aaron Bivins
- Department of Civil & Environmental Engineering, Louisiana State University, 3255 Patrick F. Taylor Hall, Baton Rouge, LA 70803, USA.
| | - Devrim Kaya
- School of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA
| | - Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia
| | - Joe Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7431, USA
| | - Caitlyn Butler
- Department of Civil and Environmental Engineering, University of Massachusetts Amherst, 130 Natural Resources Rd., Amherst, MA 01003, USA
| | - Justin Greaves
- School of Environmental Sustainability, Loyola University Chicago, 6364 N. Sheridan Rd, Chicago, IL 60660, USA
| | - Raeann Leal
- Loma Linda University, School of Public Health, 24951 North Circle Drive, Loma Linda, CA 92354, USA
| | - Kendra Maas
- Microbial Analyses, Resources, and Services Facility, University of Connecticut, Storrs, CT 06269, USA
| | - Gouthami Rao
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599-7431, USA
| | - Samendra Sherchan
- Department of Environmental Health Sciences, Tulane University, New Orleans, LA 70112, USA; Center for Climate and Health, Morgan State University, Baltimore, MD 21251, USA
| | - Deborah Sills
- Bucknell University, Department of Civil and Environmental Engineering, Lewisburg, PA 17837, USA
| | - Ryan Sinclair
- Loma Linda University, School of Public Health, 24951 North Circle Drive, Loma Linda, CA 92354, USA
| | - Robert T Wheeler
- Department of Molecular & Biomedical Sciences, University of Maine, 5735 Hitchner Hall, Orono, ME 04469, USA; Graduate School of Biomedical Sciences and Engineering, University of Maine, 5735 Hitchner Hall, Orono, ME 04469, USA
| | - Cresten Mansfeldt
- University of Colorado Boulder, Department of Civil, Environmental, and Architectural Engineering, 1111 Engineering Drive, Boulder, CO 80309, USA; University of Colorado Boulder, Environmental Engineering Program, 4001 Discovery Dr, Boulder, CO 80303, USA
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10
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Long term detection and quantification of SARS-CoV-2 RNA in wastewater in Bahrain. JOURNAL OF HAZARDOUS MATERIALS ADVANCES 2022. [PMID: 37520797 PMCID: PMC9088096 DOI: 10.1016/j.hazadv.2022.100082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Wastewater-based epidemiology is a corroborated environmental surveillance tool in the global fight against SARS-CoV-2. The analysis of wastewater for detection of SARS-CoV-2 RNA may assist policymakers to survey a specific infectious community. Herein, we report on a long-term quantification study in Bahrain to investigate the incidence of the SARS-CoV-2 RNA in wastewater during the COVID-19 pandemic. The ∼260,000 population of Muharraq Island in Bahrain is served by a discrete sewerage catchment, and all wastewater flows to a single large Sewage Treatment Plant (STP) with a capacity of 100,000 m3/day. The catchment is predominately domestic, but also serves several hospitals and Bahrain's international airport. Flow-weighted 24-h composite wastewater samples for the period February 2020 to October 2021 were analyzed for the presence of SARS-CoV-2 N1, N2 and E genes. A Spearman rank correlation demonstrated a moderate correlation between the concentration of SARS-CoV-2 N1, N2 and E genes in the wastewater samples and the number of COVID-19 cases reported on the same day of the sampling. SARS-CoV-2 viral genes were detected in wastewater samples shortly after the first cases of COVID-19 were reported by the health authorities in Bahrain by reverse transcription-polymerase chain reaction (RT-qPCR). The viral genes were detected in 55 of 65 samples (84.62%) during the whole study period and the concentration range was found to be between 0 and 11,508 RNA copies/mL across the viral genes tested (in average N1: 518.4, N2: 366.8 and E: 649.3 copies/mL). Furthermore, wastewater samples from two COVID-19-dedicated quarantine facilities were analysed and detected higher SARS-CoV-2 gene concentrations (range 27-19,105 copies/mL; in average N1: 5044, N2: 4833 and E: 8663 copies/mL). Our results highlight the potential use of RT-qPCR for SARS-CoV-2 detection and quantification in wastewater and present the moderate correlation between concentration of SARS-CoV-2 genes with reported COVID-19 cases for a specified population. Indeed, this study identifies this technique as a mechanism for long term monitoring of SARS-CoV-2 infection levels and hence provides public health and policymakers with a useful environmental surveillance tool during and after the current pandemic.
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11
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Barbé L, Schaeffer J, Besnard A, Jousse S, Wurtzer S, Moulin L, Le Guyader FS, Desdouits M. SARS-CoV-2 Whole-Genome Sequencing Using Oxford Nanopore Technology for Variant Monitoring in Wastewaters. Front Microbiol 2022; 13:889811. [PMID: 35756003 PMCID: PMC9218694 DOI: 10.3389/fmicb.2022.889811] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 03/29/2022] [Indexed: 01/21/2023] Open
Abstract
Since the beginning of the Coronavirus Disease-19 (COVID-19) pandemic, multiple Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) mutations have been reported and led to the emergence of variants of concern (VOC) with increased transmissibility, virulence or immune escape. In parallel, the observation of viral fecal shedding led to the quantification of SARS-CoV-2 genomes in wastewater, providing information about the dynamics of SARS-CoV-2 infections within a population including symptomatic and asymptomatic individuals. Here, we aimed to adapt a sequencing technique initially designed for clinical samples to apply it to the challenging and mixed wastewater matrix, and hence identify the circulation of VOC at the community level. Composite raw sewage sampled over 24 h in two wastewater-treatment plants (WWTPs) from a city in western France were collected weekly and SARS-CoV-2 quantified by RT-PCR. Samples collected between October 2020 and May 2021 were submitted to whole-genome sequencing (WGS) using the primers and protocol published by the ARTIC Network and a MinION Mk1C sequencer (Oxford Nanopore Technologies, Oxford, United Kingdom). The protocol was adapted to allow near-full genome coverage from sewage samples, starting from ∼5% to reach ∼90% at depth 30. This enabled us to detect multiple single-nucleotide variant (SNV) and assess the circulation of the SARS-CoV-2 VOC Alpha, Beta, Gamma, and Delta. Retrospective analysis of sewage samples shed light on the emergence of the Alpha VOC with detection of first co-occurring signature mutations in mid-November 2020 to reach predominance of this variant in early February 2021. In parallel, a mutation-specific qRT-PCR assay confirmed the spread of the Alpha VOC but detected it later than WGS. Altogether, these data show that SARS-CoV-2 sequencing in sewage can be used for early detection of an emerging VOC in a population and confirm its ability to track shifts in variant predominance.
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Affiliation(s)
- Laure Barbé
- Laboratoire de Microbiologie (LSEM, Unité MASAE), IFREMER, Nantes, France
| | - Julien Schaeffer
- Laboratoire de Microbiologie (LSEM, Unité MASAE), IFREMER, Nantes, France
| | - Alban Besnard
- Laboratoire de Microbiologie (LSEM, Unité MASAE), IFREMER, Nantes, France
| | - Sarah Jousse
- Laboratoire de Microbiologie (LSEM, Unité MASAE), IFREMER, Nantes, France
| | | | - Laurent Moulin
- R&D Laboratory, DRDQE, Eau de Paris, Ivry-sur-Seine, France
| | | | | | - Marion Desdouits
- Laboratoire de Microbiologie (LSEM, Unité MASAE), IFREMER, Nantes, France
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12
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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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13
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Monitoring of SARS-CoV-2 Variants by Wastewater-Based Surveillance as a Sustainable and Pragmatic Approach—A Case Study of Jaipur (India). WATER 2022. [DOI: 10.3390/w14030297] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Wastewater-based surveillance has been emerging as an efficient and advantageous tool to predict COVID-19 prevalence in the population, much earlier (7–28 days) than reported clinical cases, thus providing sufficient time to organize resources and optimize their use in managing COVID-19. Since the commencement of the COVID-19 pandemic, SARS-CoV-2 genetic lineages have emerged and are circulating all over the world. The assessment of SARS-CoV-2 variants of concern (VOCs) in wastewater has recently been proven to be successful. The present research demonstrates a case study utilizing an established approach to perform monitoring of SARS-CoV-2 variants from 11 distinct wastewater treatment plants across Jaipur (India) during the second peak period of COVID-19 (from 19 February 2021 to 8 June 2021). The sequences obtained were analyzed to detect lineage using the Pangolin tool and SNPs using the mpileup utility of Samtools, which reported high genome coverage. The mutation analyses successfully identified the penetration of the B.1. in the first two weeks of sampling (19–26 February), followed by the B.1.617.2 variant into Jaipur in the first week of March 2021. B.1.617.2 was initially discovered in India in October 2020; however, it was not reported until early April 2021.The present study identified the presence of B.1.617.2 in early March, which correlates well with the clinical patient’s data (290 cases were reported much later by the government on 10 May 2021). The average total genome coverage of the samples is 94.39% when mapped onto the severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1; a complete genome (NC_045512.2) sequence and SNP analysis showed that 37–51 SNPs were identified in each sample. The current study demonstrates that sewage surveillance for variant characterization is a reliable and practical method for tracking the diversity of SARS-CoV-2 strains in the community that is considerably faster than clinical genomic surveillance. As a result, this method can predict the advent of epidemiologically or clinically important mutations/variants, which can help with public health decision making.
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14
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Mancusi A, Capuano F, Girardi S, Di Maro O, Suffredini E, Di Concilio D, Vassallo L, Cuomo MC, Tafuro M, Signorelli D, Pierri A, Pizzolante A, Cerino P, La Rosa G, Proroga YTR, Pierri B. Detection of SARS-CoV-2 RNA in Bivalve Mollusks by Droplet Digital RT-PCR (dd RT-PCR). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:943. [PMID: 35055765 PMCID: PMC8776039 DOI: 10.3390/ijerph19020943] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 12/12/2022]
Abstract
Bivalve shellfish are readily contaminated by human pathogens present in waters impacted by municipal sewage, and the detection of SARS-CoV-2 in feces of infected patients and in wastewater has drawn attention to the possible presence of the virus in bivalves. The aim of this study was to collect data on SARS-CoV-2 prevalence in bivalve mollusks from harvesting areas of Campania region. A total of 179 samples were collected between September 2019 and April 2021 and were tested using droplet digital RT-PCR (dd RT-PCR) and real-time RT-PCR. Combining results obtained with different assays, SARS-CoV-2 presence was detected in 27/179 (15.1%) of samples. A median viral concentration of 1.1 × 102 and 1.4 × 102 g.c./g was obtained using either Orf1b nsp14 or RdRp/gene E, respectively. Positive results were unevenly distributed among harvesting areas and over time, positive samples being more frequent after January 2021. Partial sequencing of the spike region was achieved for five samples, one of which displaying mutations characteristic of the Alpha variant (lineage B.1.1.7). This study confirms that bivalve mollusks may bioaccumulate SARS-CoV-2 to detectable levels and that they may represent a valuable approach to track SARS-CoV-2 in water bodies and to monitor outbreak trends and viral diversity.
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Affiliation(s)
- Andrea Mancusi
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (A.M.); (F.C.); (S.G.); (O.D.M.)
| | - Federico Capuano
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (A.M.); (F.C.); (S.G.); (O.D.M.)
| | - Santa Girardi
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (A.M.); (F.C.); (S.G.); (O.D.M.)
| | - Orlandina Di Maro
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (A.M.); (F.C.); (S.G.); (O.D.M.)
| | - Elisabetta Suffredini
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy;
| | - Denise Di Concilio
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Lucia Vassallo
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Maria Concetta Cuomo
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Maria Tafuro
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Daniel Signorelli
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Andrea Pierri
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Antonio Pizzolante
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Pellegrino Cerino
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
| | - Giuseppina La Rosa
- Department of Environment and Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy;
| | - Yolande Thérèse Rose Proroga
- Department of Food Security Coordination, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (A.M.); (F.C.); (S.G.); (O.D.M.)
| | - Biancamaria Pierri
- Centro di Referenza Nazionale per l’Analisi e Studio di Correlazione tra Ambiente, Animale e Uomo, Istituto Zooprofilattico Sperimentale del Mezzogiorno, Via Salute No. 2, 80055 Portici, Italy; (D.D.C.); (L.V.); (M.C.C.); (M.T.); (D.S.); (A.P.); (A.P.); (P.C.); (B.P.)
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15
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González-Reyes JR, Hernández-Flores MDLL, Paredes-Zarco JE, Téllez-Jurado A, Fayad-Meneses O, Carranza-Ramírez L. Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:8547. [PMID: 34444296 PMCID: PMC8393920 DOI: 10.3390/ijerph18168547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/06/2021] [Accepted: 08/08/2021] [Indexed: 12/15/2022]
Abstract
A month-long wastewater sampling project was conducted along the northeast periphery of Mexico City, specifically in the state of Hidalgo, to assess the presence of SARS-CoV-2. To determine the prevalence of infection and obtain a range of COVID-19 cases in the main metropolitan zones. Viral RNA residues (0-197,655 copies/L) were measured in wastewater from the five central municipalities in the state. By recording the number of RNA viral copies per liter, micro-basins delimitation, demographic and physiological data, an interval of infected people and virus prevalence was estimated using a Monte Carlo model (with 90% confidence) in the micro-basin of five municipalities with metropolitan influence or industrial activity. Our procedure determined that the percentage of the infected population ranges from 1.4% to 41.7%, while the official data reports 0.1-0.3%. This model is proposed as a helpful method of regional epidemiological monitoring through the analysis of viral prevalence.
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Affiliation(s)
- José Roberto González-Reyes
- Investigación Aplicada para el Bienestar Social y Ambiental Asociación Civil (INABISA A.C.), Pachuca 42088, Mexico; (J.R.G.-R.); (J.E.P.-Z.)
| | | | - Jesús Eduardo Paredes-Zarco
- Investigación Aplicada para el Bienestar Social y Ambiental Asociación Civil (INABISA A.C.), Pachuca 42088, Mexico; (J.R.G.-R.); (J.E.P.-Z.)
| | - Alejandro Téllez-Jurado
- Laboratorio de Agrobiotecnología, Universidad Politécnica de Pachuca, Carretera Pachuca-Cd. Sahagún km 20, Zempoala 43830, Mexico;
| | - Omar Fayad-Meneses
- Consejo Ejecutivo del Complejo Científico y Tecnológico Sincrotrón, San Agustín Tlaxiaca 42163, Mexico; (O.F.-M.); (L.C.-R.)
| | - Lamán Carranza-Ramírez
- Consejo Ejecutivo del Complejo Científico y Tecnológico Sincrotrón, San Agustín Tlaxiaca 42163, Mexico; (O.F.-M.); (L.C.-R.)
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