Evidence map›Paper›PMID 38932163›Full record

ArticleViruses2024

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.

Balisa Ngqwala, Luyanda Msolo, Kingsley Ehi Ebomah, Nolonwabo Nontongana, Anthony Ifeanyi Okoh

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Environmental surveillance of pathogens in Africa.Applied and environmental microbiology · 2026
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Balisa NgqwalaSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.
Luyanda MsoloSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.ORCID 0000-0002-7272-437X
Kingsley Ehi EbomahSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.ORCID 0000-0002-8192-0428
Nolonwabo NontonganaSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.
Anthony Ifeanyi OkohSAMRC Microbial Water Quality Monitoring Centre, University of Fort Hare, Alice 5700, South Africa.ORCID 0000-0002-9770-085X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

COVID-19Genome, ViralSARS-CoV-2WastewaterCitiesHumansOccupational ExposureRisk AssessmentRNA, ViralSouth AfricaRNA, ViralWastewatercoronavirusesCOVID-19infection riskplant workersSARS-CoV-2wastewater

Identifiers

PMID38932163
PMCPMC11209190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.