Abstract:Background. Since its initial appearance in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread globally. Wastewater surveillance has been demonstrated as capable of identifying infection clusters early. The purpose of this study was to investigate a quick and simple method to detect SARS-CoV-2 in wastewater in Thailand during the early stages of the second outbreak wave when the prevalence of the disease and the virus concentra… Show more
“…[45]. This approach is mostly utilized in situations of low virus prevalence or during early periods of a pandemic [43] [46] [47]. Due to its low cost in comparison to clinical epidemiology, which requires individual patients to be swabbed, the approach may be used in low resource settings (where it will quickly indicate circulating strains in the general population) and may also be used routinely once the pandemic has established in the population [46].…”
Wastewater surveillance has been applied in various parts of the world to monitor the introduction and transmissions of SARS-CoV-2 variants in a population. The knowledge of SARS-CoV-2 variants circulating in a population is critical to COVID-19 management and timing of the application of public health countermeasures. Contrary to the routine clinical surveillance of SARS-CoV-2 where cases from asymptomatic patients are often underreported, wastewater surveillance offers an unbiased tool for monitoring the extent of SARS-CoV-2 transmissions in a community. The present study aimed to characterize SARS-CoV-2 variants that circulated in Nairobi County, Kenya, between April 2021 and August 2021 utilizing wastewater samples. Viral RNA was extracted from wastewater samples, followed by SARS-CoV-2 screening by real-time RT-qPCR before targeted sequencing of the Spike gene. Forty samples were analyzed, of which 50% (n = 20) tested positive for SARS-CoV-2 by real-time RT-qPCR. Of these, 45% (n = 9) were successfully amplified by RT-PCR and sequenced. The majority (78%, 7/9) of the viruses belonged to the Delta (B.1.617.2) lineage of SARS-CoV-2, while a minority (22%) belonged to the Alpha (B.1.1.7) and Alpha-Delta lineages. Phylogenetic analysis of the SARS-COV-2 delta lineage strains revealed scattered clustering of the Kenyan viruses among the global strains included in the analysis, suggesting different introductory routes into the country.
“…[45]. This approach is mostly utilized in situations of low virus prevalence or during early periods of a pandemic [43] [46] [47]. Due to its low cost in comparison to clinical epidemiology, which requires individual patients to be swabbed, the approach may be used in low resource settings (where it will quickly indicate circulating strains in the general population) and may also be used routinely once the pandemic has established in the population [46].…”
Wastewater surveillance has been applied in various parts of the world to monitor the introduction and transmissions of SARS-CoV-2 variants in a population. The knowledge of SARS-CoV-2 variants circulating in a population is critical to COVID-19 management and timing of the application of public health countermeasures. Contrary to the routine clinical surveillance of SARS-CoV-2 where cases from asymptomatic patients are often underreported, wastewater surveillance offers an unbiased tool for monitoring the extent of SARS-CoV-2 transmissions in a community. The present study aimed to characterize SARS-CoV-2 variants that circulated in Nairobi County, Kenya, between April 2021 and August 2021 utilizing wastewater samples. Viral RNA was extracted from wastewater samples, followed by SARS-CoV-2 screening by real-time RT-qPCR before targeted sequencing of the Spike gene. Forty samples were analyzed, of which 50% (n = 20) tested positive for SARS-CoV-2 by real-time RT-qPCR. Of these, 45% (n = 9) were successfully amplified by RT-PCR and sequenced. The majority (78%, 7/9) of the viruses belonged to the Delta (B.1.617.2) lineage of SARS-CoV-2, while a minority (22%) belonged to the Alpha (B.1.1.7) and Alpha-Delta lineages. Phylogenetic analysis of the SARS-COV-2 delta lineage strains revealed scattered clustering of the Kenyan viruses among the global strains included in the analysis, suggesting different introductory routes into the country.
“…RNA extract and RT-qPCR experiments targeting ORF1ab, spike regions (S), and the nucleocapsid (N) of the SARS-CoV-2 viral RNA were conducted and evaluated, as described in our previous work [14]. The detection of SARS-CoV-2 was classified as positive if it contained positive findings for two or more SARSCoV-2 target genes, designated at a cycle threshold (Ct) smaller than 37.…”
Section: Sars-cov-2 Virus Detection and Quantification By Rt-qpcrmentioning
The SARS-CoV-2 virus, which is driving the current COVID-19 epidemic, has been detected in wastewater and is being utilized as a surveillance tool to establish an early warning system to aid in the management and prevention of future pandemics. qPCR is the method usually used to detect SARS-CoV-2 in wastewater. There has been no study using an immunoassay that is less laboratory-intensive than qPCR with a shorter turnaround time. Therefore, we aimed to evaluate the performance of an automated chemiluminescence enzyme immunoassay (CLEIA) for SARS-CoV-2 antigen in wastewater. The CLEIA assay achieved 100% sensitivity and 66.7% specificity in a field-captured wastewater sample compared to the gold standard RT-qPCR. Our early findings suggest that the SARS-CoV-2 antigen can be identified in wastewater samples using an automated CLEIA, reducing the turnaround time and improving the performance of SARS-CoV-2 wastewater monitoring during the pandemic.
“…It is arguably agreed that WBE could outperformed clinical tests, served better on community and watershed scale, understood easily by the general public, health worker and policy makers, exhibited no conflict on its capability to predict a rise of active cases early, proved handy in hotspot zonation, curfew allocation, effectiveness of vaccine drive, as well as actually supplemented the individual testing during the various phases of pandemic. The main quests pertaining to environmental surveillance have been as follows 1 , 2 , 3∗ , 4∗ , 5 , 6∗ , 7 , 8∗ , 9∗ , 10 , 11∗ , 12∗ , 20 , 21 , 22 , 23 , 24 , 25 , 26∗ , 27∗ , 28∗ , 29 , 30 , 31∗∗ , 32 , 33 , 34 , 35 : Proof of the concept of wastewater surveillance for COVID-19 tracking. Profile tracking of active cases through the wastewater loading of SARS-CoV-2 RNA.…”
Section: Questsmentioning
confidence: 99%
“…Even the absence of wastewater treatment plant could not stop researchers to implement WBE studies in the remote location against all the odds. Figure-1 depicts a simple word cloud of the most used word in the publications pertaining to the domain 1 , 2 , 3∗ , 4∗ , 5 , 6∗ , 7 , 8∗ , 9∗ , 10 , 11∗ , 12∗ , 20 , 21 , 22 , 23 , 24 , 25 , 26∗ , 27∗ , 28∗ , 29 , 30 , 31∗∗ , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40∗ , 41 , 42∗∗ , 43∗∗ , 44 , 45 , 46 , 47 , 48∗ , 49 , 50∗∗ , 51 . …”
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