Evidence map›Paper›PMID 27529265›Full record

ArticleInternational journal of environmental research and public health2016

The Impact of Human Activities on Microbial Quality of Rivers in the Vhembe District, South Africa.

Afsatou N Traoré, Khodani Mulaudzi, Gamuchirai J E Chari, Stefan H Foord, Lutendo S Mudau, Tobias G Barnard, Natasha Potgieter

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. First Report ofFoods (Basel, Switzerland) · 2026
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  2. Occurrence ofMicroorganisms · 2026
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  6. Review
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  15. Bacterial Contamination of Children's Toys in Rural Day Care Centres and Households in South Africa.International journal of environmental research and public health · 2019
    Article
  16. 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

7 authors.

Afsatou N TraoréMicrobiology Department, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. afsatou.traore@univen.ac.za.
Khodani MulaudziMicrobiology Department, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. khodanim43@gmail.com.
Gamuchirai J E ChariMicrobiology Department, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. gjechari@yahoo.com.
Stefan H FoordZoology Department, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. Stefan.Foord@univen.ac.za.
Lutendo S MudauDepartment of Environmental Health, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa. MudauLS@tut.ac.za.
Tobias G BarnardWater & Health Research Unit, University of Johannesburg, PO Box 524, Auckland Park, Johannesburg 2006, South Africa. tgbarnard@uj.ac.za.
Natasha PotgieterMicrobiology Department, University of Venda, Private Bag X5050, Thohoyandou 0950, South Africa. natasha.potgieter@univen.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWater quality testing is dictated by microbial agents found at the time of sampling in reference to their acceptable risk levels. Human activities might contaminate valuable water resources and add to the microbial load present in water bodies. Therefore, the effects of human activities on the microbial quality of rivers collected from twelve catchments in the Vhembe District in South Africa were investigated, with samples analyzed for total coliform (TC) and Eschericha coli (E. coli) contents.

methodsPhysical parameters and various human activities were recorded for each sampling site. The Quanti-Tray(®) method was adopted for the assessment of TC and E. coli contents in the rivers over a two-year period. A multiplex polymerase chain (PCR) method was used to characterize the strains of E. coli found.

resultsThe microbial quality of the rivers was poor with both TC and E. coli contents found to be over acceptable limits set by the South African Department of Water and Sanitation (DWS). No significant difference (p > 0.05) was detected between TC and E. coli risks in dry and wet seasons. All six pathogenic E. coli strains were identified and Enteroaggregative E. coli (EAEC), atypical Enteropathogenic E. coli (a-EPEC) and Enterotoxigenic E. coli (ETEC) were the most prevalent E. coli strains detected (respectively, 87%, 86% and 83%).

conclusionsThe study indicated that contamination in the majority of sampling sites, due to human activities such as car wash, animal grazing and farming, poses health risks to communities using the rivers for various domestic chores. It is therefore recommended that more education by the respective departments is done to avert pollution of rivers and prevent health risks to the communities in the Vhembe District.

Indexed as

Human ActivitiesWater QualityAnimalsEnvironmental MonitoringEscherichia coliHumansPolymerase Chain ReactionRisk AssessmentRiversSeasonsSouth AfricaE. coliPCRquanti-trayrisk assessmenttotal coliforms

Identifiers

PMID27529265
PMCPMC4997503

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Registered trials

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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.