Evidence map›Paper›PMID 33604058›Full record

ArticleHealth SA = SA Gesondheid2021

Microbial levels on street foods and food preparation surfaces in Mangaung Metropolitan Municipality.

Malerato Moloi, Gaofetoge G Lenetha, Ntsoaki J Malebo

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Malerato MoloiDepartment of Life Sciences, Faculty of Health and Environmental Science, Central University of Technology, Free State, Bloemfontein, South Africa.ORCID 0000-0003-0019-5349
Gaofetoge G LenethaDepartment of Life Sciences, Faculty of Health and Environmental Science, Central University of Technology, Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0001-9606-5535
Ntsoaki J MaleboCentre for Innovation in Learning and Teaching (CILT), Faculty of Health Sciences, Central University of Technology, Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0003-2017-5759

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe street food sector has become an important component of the food distribution system in many cities in both developing and industrialised countries, particularly for midday meals. However, certain street food can pose a significant risk to consumers because of microbiological contamination.

aimThe aim of this study was to determine the microbial levels of street foods and preparation surfaces in Mangaung Metropolitan Municipality.

settingThe study selected study setting was vending sites close to taxi ranks where prepared meals were accessible to consumers.

methodsThe study was conducted in Mangaung Metropolitan Municipality during the winter season. Samples were collected through convenience sampling from the representative towns Thaba Nchu, Botshabelo and Bloemfontein. Using swabs, surface samples were collected and quantified from selective media. Eight beef samples were also collected; the microbial load on each sample was quantified and identified using a RapID kit.

resultsThe surface swabs obtained in Botshabelo (1.1 × 10

conclusionThis study confirmed contamination of surfaces and food served by vendors in Mangaung Metropolitan Municipality. The identified foodborne bacteria could pose a public health problem in each specific locality.

Indexed as

foodborne microorganismsfood safetymicrobial contaminationstreet foodssurface swabs

Identifiers

PMID33604058
PMCPMC7876954

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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.