Monitoring changes in COVID-19 infection using wastewater-based epidemiology: A South African perspective

Pillay, Leanne; Amoah, Isaac Dennis; Deepnarain, Nashia; Pillay, Kriveshin; Awolusi, Oluyemi Olatunji; Kumari, Sheena; Bux, Faizal

doi:10.1016/j.scitotenv.2021.147273

Cited by 48 publications

(31 citation statements)

References 46 publications

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“…Increasingly, studies are exploring the efficacy of wastewater monitoring to provide actionable insights for COVID-19 response. This includes recent work by Scott et al (2021) who utilized gene markers to monitor the spread of COVID-19 on a U.S. college campus, Pillay et al (2021) who provided a unique perspective on wastewater monitoring in South Africa, and Saththasivam et al (2021) who were the first to measure SARS-CoV-2 RNA fragments in wastewater in Qatar. This work continues to evolve with some of the most recent studies taking place internationally, such as in Madrid ( Lastra et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective

Nelson

Maestre

et al. 2022

Spatial and Spatio-temporal Epidemiology

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Section: Introductionmentioning

confidence: 99%

Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective

Nelson

Maestre

et al. 2022

Spatial and Spatio-temporal Epidemiology

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“…The efficiency of the methods used in recovering SARS-CoV-2 from wastewater has been reported previously ( Pillay et al, 2021 ). Briefly, 400 ml of raw wastewater was spiked with a 200 μl suspension of inactivated SARS-CoV-2 strain USA/WA1/2020 (Microbiologics, USA).…”

Section: Methodsmentioning

confidence: 73%

Effect of selected wastewater characteristics on estimation of SARS-CoV-2 viral load in wastewater

Amoah

Abunama

Awolusi

et al. 2022

Environmental Research

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Wastewater-based epidemiology has been used as a tool for surveillance of COVID-19 infections. This approach is dependent on the detection and quantification of SARS-CoV-2 RNA in untreated/raw wastewater. However, the quantification of the viral RNA could be influenced by the physico-chemical properties of the wastewater. This study presents the first use of Adaptive Neuro-Fuzzy Inference System (ANFIS) to determine the potential impact of physico-chemical characteristics of wastewater on the detection and concentration of SARS-CoV-2 RNA in wastewater. Raw wastewater samples from four wastewater treatment plants were investigated over four months. The physico-chemical characteristics of the raw wastewater was recorded, and the SARS-CoV-2 RNA concentration determined via amplification with droplet digital polymerase chain reaction. The wastewater characteristics considered were chemical oxygen demand, flow rate, ammonia, pH, permanganate value, and total solids. The mean SARS-CoV-2 RNA concentrations ranged from 648.1(±514.6) copies/mL to 1441.0(±1977.8) copies/mL. Among the parameters assessed using the ANFIS model, ammonia and pH showed significant association with the concentration of SARS-CoV-2 RNA measured. Increasing ammonia concentration was associated with increasing viral RNA concentration and pH between 7.1 and 7.4 were associated with the highest SARS-CoV-2 concentration. Other parameters, such as total solids, were also observed to influence the viral RNA concentration, however, this observation was not consistent across all the wastewater treatment plants. The results from this study indicate the importance of incorporating wastewater characteristic assessment into wastewater-based epidemiology for a robust and accurate COVID-19 surveillance.

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“… Lorenzo and Picó (2019) proposed that this approach can become an early warning system for outbreaks of disease and a unique tool for the identification of hotspots for pandemics. The usefulness of WBE has already been exhibited with the current studies in relation to COVID-19 infections, where several countries, such Australia ( Ahmed et al., 2020 ), the Netherlands ( Naughton et al., 2021 ), USA ( Gonzalez et al., 2020 ), France ( Barcelo, 2020 ) and South Africa ( Pillay et al., 2021 ) have established national WBE systems. Therefore, the results obtained in this study further advocates this approach in complementing the existing surveillance systems for TB infections.…”

Section: Discussionmentioning

confidence: 89%

Molecular surveillance of tuberculosis-causing mycobacteria in wastewater

Mtetwa

Amoah

Kumari

et al. 2022

Heliyon

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Monitoring changes in COVID-19 infection using wastewater-based epidemiology: A South African perspective

Cited by 48 publications

References 46 publications

Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective

Space-time analysis of COVID-19 cases and SARS-CoV-2 wastewater loading: A geodemographic perspective

Effect of selected wastewater characteristics on estimation of SARS-CoV-2 viral load in wastewater

Molecular surveillance of tuberculosis-causing mycobacteria in wastewater

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