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Distribution of SARS-CoV-2 Genomes in Wastewaters and the Associated Potential Infection Risk for Plant Workers in Typical Urban and Peri-Urban Communities of the Buffalo City Region, South Africa.
Ngqwala, Balisa; Msolo, Luyanda; Ebomah, Kingsley Ehi; Nontongana, Nolonwabo; Okoh, Anthony Ifeanyi.
Afiliação
  • Ngqwala B; SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.
  • Msolo L; Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa.
  • Ebomah KE; SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.
  • Nontongana N; Applied and Environmental Microbiology Research Group (AEMREG), Department of Biochemistry and Microbiology, University of Fort Hare, Alice 5700, South Africa.
  • Okoh AI; SAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.
Viruses ; 16(6)2024 May 29.
Article em En | MEDLINE | ID: mdl-38932163
ABSTRACT
The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in wastewater has been reported in several studies and similar research can be used as a proxy for an early warning of potential Coronavirus disease 2019 (COVID-19) outbreaks. This study focused on profiling the incidence of SARS-CoV-2 genomes in wastewater samples obtained from facilities located in the Buffalo City Municipality. Raw samples were collected weekly using the grab technique for a period of 48 weeks. Ribonucleic acids were extracted from the samples, using the QIAGEN Powersoil Total RNA Extraction kit, and extracted RNA samples were further profiled for the presence of SARS-CoV-2 genomes using Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) technique. Furthermore, various environmental matrices were utilized to estimate the potential health risk to plant operators associated with exposure to SARS-CoV-2 viral particles using the quantitative microbiological risk assessment (QMRA) model. Our findings revealed the prevalence of SARS-CoV-2 genomes with concentrations that ranged from 0.22 × 103 to 17.60 × 103 genome copies per milliliter (GC/mL). Different exposure scenarios were employed for the QMRA model, and the findings indicate a probability of infection (P(i)) ranging from 0.93% to 37.81% across the study sites. Similarly, the P(i) was highly significant (p < 0.001) for the 20 mL volumetric intake as compared to other volumetric intake scenarios, and high P(i) was also observed in spring, autumn, and winter for all WWTPs. The P(i) was significantly different (p < 0.05) with respect to the different seasons and with respect to different volume scenarios.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Viral / Águas Residuárias / SARS-CoV-2 / COVID-19 Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Viruses Ano de publicação: 2024 Tipo de documento: Article País de afiliação: África do Sul

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Viral / Águas Residuárias / SARS-CoV-2 / COVID-19 Limite: Humans País/Região como assunto: Africa Idioma: En Revista: Viruses Ano de publicação: 2024 Tipo de documento: Article País de afiliação: África do Sul