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


Journal

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde
ISSN: 2078-5135
Titre abrégé: S Afr Med J
Pays: South Africa
ID NLM: 0404520

Informations de publication

Date de publication:
28 01 2021
Historique:
received: 28 01 2021
accepted: 28 01 2021
entrez: 4 5 2021
pubmed: 5 5 2021
medline: 14 5 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33944737
doi: 10.7196/SAMJ.2021.v111i3.15154
doi:

Substances chimiques

RNA, Viral 0
Waste Water 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

198-202

Auteurs

R Johnson (R)

Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa; Division of Medical Physiology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa. renee.street@mrc.ac.za.

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Classifications MeSH