2022
DOI: 10.1016/j.scitotenv.2021.150680
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Wastewater, waste, and water-based epidemiology (WWW-BE): A novel hypothesis and decision-support tool to unravel COVID-19 in low-income settings?

Abstract: Traditional wastewater-based epidemiology (W-BE) relying on SARS-CoV-2 RNA detection in wastewater is attractive for understanding COVID-19. Yet traditional W-BE based on centralized wastewaters excludes putative SARS-CoV-2 reservoirs such as: (i) wastewaters from shared on-site sanitation facilities, (ii) solid waste including faecal sludge from non-flushing on-site sanitation systems and COVID-19 personal protective equipment (PPE), (iii) raw/untreated water, and (iv) drinking water supply systems in low-inc… Show more

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Cited by 26 publications
(16 citation statements)
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References 146 publications
(273 reference statements)
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“… Gwenzi (2021) also proposed an alternative methodology for tracking SARS-CoV-2, which involves the detection of viral RNA titers not only in wastewater samples but also in solid waste (papers, metals, fabric, plastics), and raw/untreated and drinking water. The authors draw the attention of the research community, governments, local and international health authorities, and professionals in wastewater-based epidemiology to the development of new low-cost tools for COVID-19 surveillance, especially for low-income regions.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“… Gwenzi (2021) also proposed an alternative methodology for tracking SARS-CoV-2, which involves the detection of viral RNA titers not only in wastewater samples but also in solid waste (papers, metals, fabric, plastics), and raw/untreated and drinking water. The authors draw the attention of the research community, governments, local and international health authorities, and professionals in wastewater-based epidemiology to the development of new low-cost tools for COVID-19 surveillance, especially for low-income regions.…”
Section: Resultsmentioning
confidence: 99%
“…Worried about the possibility of surface transmission through municipal solid waste (MSW) ( Ong et al, 2020 ; Ren et al, 2020 ; Gwenzi, 2021 ), municipalities, agencies, and scientists proposed educational programs about the proper separation of Personal Protection Equipment (PPE) used by common citizens, sorted by what can be recycled or not ( VaverkovĂĄ et al, 2021 ). Along with the massive participation of households in this process, a 72-h quarantine was also proposed in time to time to decrease the waste amount generated to allow it to be sorted and finally sent to the recycling industries ( LfU, 2020 ; ACRPlus, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
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“…SARS-CoV-2 RNA in sewage samples was also detected in the vicinity of the COVID-19 isolation centre in south-eastern Bangladesh ( Ahmed et al, 2021 ). Quantifying the concentration of viruses in wastewater could serve as a proxy for monitoring disease transmission among the population, which is an approach termed as “wastewater-based epidemiology” (WBE) ( Ahmed et al, 2020 ; Aguiar-Oliveira et al, 2020 ; Bhattacharya et al, 2021 ; Buonerba et al, 2021 ; Gwenzi, 2022 ; Huisman et al, 2022 ; Islam et al, 2023b ; Lodder et al, 2013 ; Wu et al, 2020a ; Zhang et al, 2020b ). In fact, SARS-CoV-2 RNA concentration in the wastewater and hospital effluent samples correlated with the number of reported COVID-19 cases in different countries ( Majumder et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…While epidemiology for SARS-CoV-2 RNA detection in wastewater is attractive for understanding COVID-19 in settings where financial and diagnostic resources for testing are severely limited, there is a lack of research evidence on the utility of such techniques in Africa. The availability of reliable data on COVID-19 burden and transmission is critical for prioritising and deploying scarce resources, including personal protective equipment (PPE) and emergence response systems [ 26 ]. Thus, this study aimed to map research evidence on SARS-CoV-2 wastewater surveillance in Africa to inform future research and synthesize gaps and opportunities.…”
Section: Introductionmentioning
confidence: 99%