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Long A, Loethen K, Behzadnezhad A, Zhang W. A snapshot of SARS-CoV-2 viral RNA throughout wastewater treatment plants in Arkansas. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2024; 96:e10992. [PMID: 38291790 DOI: 10.1002/wer.10992] [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: 08/03/2023] [Revised: 01/05/2024] [Accepted: 01/08/2024] [Indexed: 02/01/2024]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread the viral RNA in wastewater by the feces of those experience COVID-19 symptoms. While wastewater monitoring of SARS-CoV-2 in the raw sewage has been confirmed as an effective tool to predict COVID-19 infection, the goal of this study is to assess the presence of SARS-CoV-2 viral RNA throughout various wastewater treatment processes. Wastewater samples were collected from wastewater treatment plants (WWTPs) in the state of Arkansas from August 2020 to June 2021 and measured for the relative concentration of SARS-CoV-2 viral RNA using RT-qPCR. The gene concentrations in the raw wastewater measured in this study were similar to other published studies, targeting the N1 and N2 genes of the virus. The viral RNA concentration was measured after each wastewater treatment step within WWTPs, including primary sedimentation, activated sludge, filtration and disinfection. Results show the most viral RNA removal occurred in the secondary treatment (activated sludge). The viral RNA was only occasionally detected after disinfection (chlorination or UV disinfection). Overall, WWTPs can remove the SARS-CoV-2 viral RNA at an average of 98.7%, while complete removal was achieved on 82% of the sampling days. Further investigation is required to ensure complete viral RNA removal from wastewater such as improving existing treatment process or supplementing with additional treatment steps. PRACTITIONER POINTS: The viral RNA of SARS-CoV-2 was detected in Arkansas wastewater treatment plants. SARS-CoV-2 was rarely detected in treated effluent from wastewater treatment plants. Activated sludge was effective removing SARS-CoV-2 viral RNA from wastewater. This study was limited by the direct RNA extraction from wastewater, which lowered the sensitivity of detection.
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Affiliation(s)
- Aaron Long
- Department of Civil Engineering, University of Arkansas, Fayetteville, Arkansas, USA
| | - Katie Loethen
- Department of Biological Engineering, University of Arkansas, Fayetteville, Arkansas, USA
| | - Asal Behzadnezhad
- Department of Civil Engineering, University of Arkansas, Fayetteville, Arkansas, USA
| | - Wen Zhang
- Department of Civil Engineering, University of Arkansas, Fayetteville, Arkansas, USA
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Câmara AB, Bonfante J, da Penha MG, Cassini STA, de Pinho Keller R. Detecting SARS-CoV-2 in sludge samples: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 859:160012. [PMID: 36368397 PMCID: PMC9643039 DOI: 10.1016/j.scitotenv.2022.160012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 06/16/2023]
Abstract
AIMS This paper aims to review the main sludge concentration methods used for SARS-CoV-2 detection in sewage sludge samples, discussing the main methods and sample volume related to increased viral load. In addition, we aim to evaluate the countries associated with increased positivity rates for SARS-CoV-2 in sludge samples. METHODS This systematic methodology was registered in PROSPERO and followed the PRISMA guidelines. The search was carried out in the SciELO, PubMed/MEDLINE, Lilacs, and Google Scholar databases in January-March 2022. Quantitative studies with conclusive results were included in this review. Concentration methods (polyethylene glycol (PEG), PEG + NaCl, gravity thickening, skimmed milk flocculation, ultrafiltration, filtration using charged filters, primary sedimentation, and anaerobic digestion), as well as detection methods (RTqPCR and reverse transcription droplet digital PCR assay) were evaluated in this review. The SPSS v23 software program was used for statistical analysis. RESULTS PEG (with or without NaCl addition) and gravity thickening were the most used sludge concentration methods to detect SARS-CoV-2. The main method associated with increased viral load (>2,02 × 10^4 copies/mL) was PEG + NaCl (p < 0.05, Mann-Whitney test). The average positivity rate for SARS-CoV-2 in sludge samples was 61 %, and a correlation was found between the sludge volume and the viral load (ro 0.559, p = 0.03, Spearman correlation). CONCLUSION The sludge volume may influence the SARS-CoV-2 load since the virus can adhere to solid particles in these samples. Other factors may be associated with SARS-CoV-2 load, including the methods used; especially PEG + NaCl may result in a high viral load detected in sludge, and may provide a suitable pH for SARS-CoV-2 recovery.
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Affiliation(s)
- Alice Barros Câmara
- Sanitation Laboratory, Department of Environmental Engineering, Universidade Federal do Espírito Santo, Ave. Fernando Ferrari, 515, Goiabeiras, 29075051 Vitória, ES, Brazil.
| | - Júlia Bonfante
- Sanitation Laboratory, Department of Environmental Engineering, Universidade Federal do Espírito Santo, Ave. Fernando Ferrari, 515, Goiabeiras, 29075051 Vitória, ES, Brazil
| | - Marília Gueler da Penha
- Sanitation Laboratory, Department of Environmental Engineering, Universidade Federal do Espírito Santo, Ave. Fernando Ferrari, 515, Goiabeiras, 29075051 Vitória, ES, Brazil
| | - Sérvio Túlio Alves Cassini
- Sanitation Laboratory, Department of Environmental Engineering, Universidade Federal do Espírito Santo, Ave. Fernando Ferrari, 515, Goiabeiras, 29075051 Vitória, ES, Brazil
| | - Regina de Pinho Keller
- Sanitation Laboratory, Department of Environmental Engineering, Universidade Federal do Espírito Santo, Ave. Fernando Ferrari, 515, Goiabeiras, 29075051 Vitória, ES, Brazil
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Mousazadeh M, Kabdaşlı I, Khademi S, Sandoval MA, Moussavi SP, Malekdar F, Gilhotra V, Hashemi M, Dehghani MH. A critical review on the existing wastewater treatment methods in the COVID-19 era: What is the potential of advanced oxidation processes in combatting viral especially SARS-CoV-2? JOURNAL OF WATER PROCESS ENGINEERING 2022; 49:103077. [PMID: 35990175 PMCID: PMC9381433 DOI: 10.1016/j.jwpe.2022.103077] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/19/2022] [Accepted: 08/15/2022] [Indexed: 06/01/2023]
Abstract
The COVID-19 epidemic has put the risk of virus contamination in water bodies on the horizon of health authorities. Hence, finding effective ways to remove the virus, especially SARS-CoV-2, from wastewater treatment plants (WWTPs) has emerged as a hot issue in the last few years. Herein, this study first deals with the fate of SARS-CoV-2 genetic material in WWTPs, then critically reviews and compares different wastewater treatment methods for combatting COVID-19 as well as to increase the water quality. This critical review sheds light the efficiency of advanced oxidation processes (AOPs) to inactivate virus, specially SARS-CoV-2 RNA. Although several physicochemical treatment processes (e.g. activated sludge) are commonly used to eliminate pathogens, AOPs are the most versatile and effective virus inactivation methods. For instance, TiO2 is the most known and widely studied photo-catalyst innocuously utilized to degrade pollutants as well as to photo-induce bacterial and virus disinfection due to its high chemical resistance and efficient photo-activity. When ozone is dissolved in water and wastewater, it generates a wide spectrum of the reactive oxygen species (ROS), which are responsible to degrade materials in virus membranes resulting in destroying the cell wall. Furthermore, electrochemical advanced oxidation processes act through direct oxidation when pathogens react at the anode surface or by indirect oxidation through oxidizing species produced in the bulk solution. Consequently, they represent a feasible choice for the inactivation of a wide range of pathogens. Nonetheless, there are some challenges with AOPs which should be addressed for application at industrial-scale.
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Affiliation(s)
- Milad Mousazadeh
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
- Department of Environmental Health Engineering, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Işık Kabdaşlı
- İstanbul Technical University, Civil Engineering Faculty, Environmental Engineering Department, Ayazağa Campus, 34469 Maslak, İstanbul, Turkey
| | - Sara Khademi
- Health, Safety, and Environment Specialist, North Drilling Company, Ahvaz, Iran
| | - Miguel Angel Sandoval
- Universidad de Santiago de Chile USACH, Facultad de Química y Biología, Departamento de Química de los Materiales, Laboratorio de Electroquímica Medio Ambiental, LEQMA, Casilla 40, Correo 33, Santiago, Chile
- Universidad de Guanajuato, División de Ciencias Naturales y Exactas, Departamento de Ingeniería Química, Noria Alta S/N, 36050, Guanajuato, Guanajuato, Mexico
| | | | - Fatemeh Malekdar
- Department of Foot and Mouth Disease Vaccine Production, Razi Vaccine and Serum Research Institute, Karaj, Iran
| | - Vishakha Gilhotra
- Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, Punjab, India
| | - Marjan Hashemi
- Environmental and Occupational Hazards Control Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Dehghani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran
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Bertels X, Demeyer P, Van den Bogaert S, Boogaerts T, van Nuijs ALN, Delputte P, Lahousse L. Factors influencing SARS-CoV-2 RNA concentrations in wastewater up to the sampling stage: A systematic review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 820:153290. [PMID: 35066048 PMCID: PMC8772136 DOI: 10.1016/j.scitotenv.2022.153290] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/27/2021] [Accepted: 01/16/2022] [Indexed: 04/15/2023]
Abstract
Wastewater-based surveillance (WBS) for SARS-CoV-2 RNA is a promising complementary approach to monitor community viral circulation. A myriad of factors, however, can influence RNA concentrations in wastewater, impeding its epidemiological value. This article aims to provide an overview and discussion of factors up to the sampling stage that impact SARS-CoV-2 RNA concentration estimates in wastewater. To this end, a systematic review was performed in three databases (MEDLINE, Web of Science and Embase) and two preprint servers (MedRxiv and BioRxiv). Two authors independently screened and selected articles published between January 1, 2019 and May 4, 2021. A total of 22 eligible articles were included in this systematic review. The following factors up to sampling were identified to have an influence on SARS-CoV-2 RNA concentrations in wastewater and its interpretation: (i) shedding-related factors, including faecal shedding parameters (i.e. shedding pattern, recovery, rate, and load distribution), (ii) population size, (iii) in-sewer factors, including solid particles, organic load, travel time, flow rate, wastewater pH and temperature, and (iv) sampling strategy. In conclusion, factors influencing SARS-CoV-2 RNA concentration estimates in wastewater were identified and research gaps were discussed. The identification of these factors supports the need for further research on WBS for COVID-19.
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Affiliation(s)
- Xander Bertels
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
| | - Phaedra Demeyer
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
| | - Siel Van den Bogaert
- Laboratory for Microbiology, Parasitology and Hygiene, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
| | - Tim Boogaerts
- Toxicological Centre, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
| | - Alexander L N van Nuijs
- Toxicological Centre, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
| | - Peter Delputte
- Laboratory for Microbiology, Parasitology and Hygiene, Faculty of Pharmaceutical, Biomedical and Veterinary Sciences, University of Antwerp, Universiteitsplein 1, 2610 Antwerp, Belgium.
| | - Lies Lahousse
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium.
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Arora S, Nag A, Kalra A, Sinha V, Meena E, Saxena S, Sutaria D, Kaur M, Pamnani T, Sharma K, Saxena S, Shrivastava SK, Gupta AB, Li X, Jiang G. Successful application of wastewater-based epidemiology in prediction and monitoring of the second wave of COVID-19 with fragmented sewerage systems-a case study of Jaipur (India). ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:342. [PMID: 35389102 PMCID: PMC8987519 DOI: 10.1007/s10661-022-09942-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 03/12/2022] [Indexed: 05/09/2023]
Abstract
The present study tracked the city-wide dynamics of severe acute respiratory syndrome-corona virus 2 ribonucleic acids (SARS-CoV-2 RNA) in the wastewater from nine different wastewater treatment plants (WWTPs) in Jaipur during the second wave of COVID-19 out-break in India. A total of 164 samples were collected weekly between February 19th and June 8th, 2021. SARS-CoV-2 was detected in 47.2% (52/110) influent samples and 37% (20/54) effluent samples. The increasing percentage of positive influent samples correlated with the city's increasing active clinical cases during the second wave of COVID-19 in Jaipur. Furthermore, wastewater-based epidemiology (WBE) evidence clearly showed early detection of about 20 days (9/9 samples reported positive on April 20th, 2021) before the maximum cases and maximum deaths reported in the city on May 8th, 2021. The present study further observed the presence of SARS-CoV-2 RNA in treated effluents at the time window of maximum active cases in the city even after tertiary disinfection treatments of ultraviolet (UV) and chlorine (Cl2) disinfection. The average genome concentration in the effluents and removal efficacy of six commonly used treatments, activated sludge process + chlorine disinfection (ASP + Cl2), moving bed biofilm reactor (MBBR) with ultraviolet radiations disinfection (MBBR + UV), MBBR + chlorine (Cl2), sequencing batch reactor (SBR), and SBR + Cl2, were compared with removal efficacy of SBR + Cl2 (81.2%) > MBBR + UV (68.8%) > SBR (57.1%) > ASP (50%) > MBBR + Cl2 (36.4%). The study observed the trends and prevalence of four genes (E, RdRp, N, and ORF1ab gene) based on two different kits and found that prevalence of N > ORF1ab > RdRp > E gene suggested that the effective genome concentration should be calculated based on the presence/absence of multiple genes. Hence, it is imperative to say that using a combination of different detection genes (E, N, RdRp, & ORF1ab genes) increases the sensitivity in WBE.
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Affiliation(s)
- Sudipti Arora
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India.
| | - Aditi Nag
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Aakanksha Kalra
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Vikky Sinha
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Ekta Meena
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Samvida Saxena
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Devanshi Sutaria
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Manpreet Kaur
- Centre for Innovation, Research & Development (CIRD), Dr. B, Lal Clinical Laboratory Pvt. Ltd, Jaipur, India
| | - Tamanna Pamnani
- Centre for Innovation, Research & Development (CIRD), Dr. B, Lal Clinical Laboratory Pvt. Ltd, Jaipur, India
| | - Komal Sharma
- Centre for Innovation, Research & Development (CIRD), Dr. B, Lal Clinical Laboratory Pvt. Ltd, Jaipur, India
| | - Sonika Saxena
- Dr. B. Lal Institute of Biotechnology, 6-E, Malviya Industrial Area, Malviya Nagar, Jaipur, 302017, India
| | - Sandeep K Shrivastava
- Centre for Innovation, Research & Development (CIRD), Dr. B, Lal Clinical Laboratory Pvt. Ltd, Jaipur, India
| | - A B Gupta
- Department of Civil Engineering, Malaviya National Institute of Technology, Jaipur, India
| | - Xuan Li
- School of Civil, Mining and Environmental Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
| | - Guangming Jiang
- School of Civil, Mining and Environmental Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
- Illawarra Health and Medical Research Institute (IHMRI), University of Wollongong, Wollongong, Australia
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Kumar M, Srivastava V, Mazumder P, Deka JP, Gupta S, Goswami R, Mutiyar PK, Dave S, Mahanta C, Ramanathan AL, Joshi M. Spectre of SARS-CoV-2 RNA in the ambient urban waters of Ahmedabad and Guwahati: A tale of two Indian cities. ENVIRONMENTAL RESEARCH 2022; 204:112067. [PMID: 34543636 PMCID: PMC8445884 DOI: 10.1016/j.envres.2021.112067] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 09/12/2021] [Accepted: 09/13/2021] [Indexed: 05/19/2023]
Abstract
COVID-19 positive patients can egest live SARS-CoV-2 virus and viral genome fragments through faecal matter and urine, raising concerns about viral transmission through the faecal-oral route and/or contaminated aerosolized water. These concerns are amplified in many low- and middle-income countries, where raw sewage is often discharged into surface waterways and open defecation is common. Nonetheless, there has been no evidence of COVID-19 transmission via ambient urban water, and the virus viability in such aquatic matrices is believed to be minimal and not a matter of concern. In this manuscript, we attempt to discern the presence of SARS-CoV-2 genetic material (ORF-1ab, N and S genes) in the urban water (lakes, rivers, and drains) of the two Indian cities viz., Ahmedabad (AMD), in western India with 9 wastewater treatment plants (WWTPs) and Guwahati (GHY), in the north-east of the country with no such treatment facilities. The present study was carried out to establish the applicability of environmental water surveillance (E-wat-Surveillance) of COVID-19 as a potential tool for public health monitoring at the community level. 25.8% and 20% of the urban water samples had detectable SARS-CoV-2 RNA load in AMD and GHY, respectively. N-gene > S-gene > ORF-1ab-gene were readily detected in the urban surface water of AMD, whereas no such observable trend was noticed in the case of GHY. The high concentrations of SARS-CoV-2 genes (e.g., ORF-1ab; 800 copies/L for Sabarmati River, AMD and S-gene; 565 copies/L for Bharalu urban river, GHY) found in urban waters suggest that WWTPs do not always completely remove the virus genetic material and that E-wat-Surveillance of COVID-19 in cities/rural areas with poor sanitation is possible.
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Affiliation(s)
- Manish Kumar
- Sustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttrakhand, 248007, India.
| | - Vaibhav Srivastava
- Discipline of Earth Science, Indian Institute of Technology Gandhinagar, Gujarat, 382 355, India
| | - Payal Mazumder
- Centre for the Environment, Indian Institute of Technology Guwahati, Assam, 781039, India
| | - Jyoti Prakash Deka
- Discipline of Environmental Sciences, Gauhati Commerce College, Guwahati, Assam, 781021, India
| | - Shilangi Gupta
- Discipline of Earth Science, Indian Institute of Technology Gandhinagar, Gujarat, 382 355, India
| | - Ritusmita Goswami
- Centre for Ecology, Environment and Sustainable Development, Tata Institute of Social Sciences, Guwahati, Assam, 781013, India
| | - Pravin K Mutiyar
- National Mission for Clean Ganga, Department of Water Resources, Ministry of Jal Shakti, Govt. of India, New Delhi, India
| | - Shyamnarayan Dave
- UNICEF Gujarat State Office, Sector- 20, Gandhinagar, Gujarat, 382021, India
| | - Chandan Mahanta
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Assam, 781039, India
| | - A L Ramanathan
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Madhvi Joshi
- Gujarat Biotechnology Research Centre (GBRC), Sector- 11, Gandhinagar, Gujarat, 382 011, India
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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: 11] [Impact Index Per Article: 5.5] [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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