Qualitative and quantitative detection of SARS-CoV-2 RNA in untreated wastewater in Western Cape Province, South Africa

HEALTH Recent studies have shown that the detection of SARS-CoV-2 genetic material in wastewater may provide the basis for a surveillance system to track the environmental dissemination of this virus in communities. An effective wastewater-based epidemiology (WBE) system may prove critical in South...

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Veröffentlicht in:SAMJ: South African Medical Journal 2021-03, Vol.111 (3), p.198-202
Hauptverfasser: Johnson, R, Muller, C.J.F, Ghoor, S, Louw, J, Archer, E, Surujlal-Naicker, S, Berkowitz, N, Volschenk, M, Bröcker, L.H.L, Wolfaardt, G, Van der Walt, M, Mutshembele, A.M, Malema, S, Gelderblom, H.C, Mdhluli, M, Gray, G, Mathee, A, Street, R.A
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Sprache:eng
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Zusammenfassung:HEALTH Recent studies have shown that the detection of SARS-CoV-2 genetic material in wastewater may provide the basis for a surveillance system to track the environmental dissemination of this virus in communities. An effective wastewater-based epidemiology (WBE) system may prove critical in South Africa (SA), where health systems infrastructure, testing capacity, personal protective equipment and human resource capacity are constrained. In this proof-of-concept study, we investigated the potential of SARS-CoV-2 RNA surveillance in untreated wastewater as the basis for a system to monitor COVID-19 prevalence in the population, an early warning system for increased transmission, and a monitoring system to assess the effectiveness of interventions. The laboratory confirmed the presence (qualitative analysis) and determined the RNA copy number of SARS-CoV-2 viral RNA by reverse transcription polymerase chain reaction (quantitative) analysis from 24-hour composite samples collected on 18 June 2020 from five wastewater treatment plants in Western Cape Province, SA. The study has shown that a WBE system for monitoring the status and trends of COVID-19 mass infection in SA is viable, and its development and implementation may facilitate the rapid identification of hotspots for evidence-informed interventions.
ISSN:0256-9574
2078-5135
2078-5135
DOI:10.7196/SAMJ.2021.v111i3.15154