Evidence map›Paper›PMID 42765037›Full record

ArticleVeterinary world2026

Microbial contamination and antimicrobial resistance in dried fish from informal markets in Gauteng Province, South Africa: A One Health food safety assessment.

Siphiwe Rendy Nkosi, Mpinda Edoaurd Tshipamba, Ngoma Lubanza, B G Mokolopi, Mulunda Mwanza

Abstract read
In one paragraph

Article in Veterinary world, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Siphiwe Rendy NkosiDepartment of Animal Health, School of Agriculture, Faculty of Natural and Agricultural Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa.
Mpinda Edoaurd TshipambaDepartment of Agriculture and Animal Health, College of Agriculture and Environmental Sciences, University of South Africa, Florida Science Campus, Johannesburg, South Africa.
Ngoma LubanzaDepartment of Animal Health, School of Agriculture, Faculty of Natural and Agricultural Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa.
B G MokolopiDepartment of Agriculture and Animal Health, College of Agriculture and Environmental Sciences, University of South Africa, Florida Science Campus, Johannesburg, South Africa.
Mulunda MwanzaDepartment of Animal Health, School of Agriculture, Faculty of Natural and Agricultural Sciences, North-West University, Mafikeng Campus, Private Bag X2046, Mmabatho 2735, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Dried fish sold in informal markets is an affordable source of protein but may be vulnerable to microbial contamination because of inadequate hygiene and handling practices. This study aimed to assess microbial contamination levels, identify bacterial isolates using 16S rRNA sequencing, and determine the antimicrobial resistance (AMR) profiles of bacteria recovered from sun-dried, smoked, and salted fish sold in informal markets in Gauteng Province, South Africa. The research addressed limited information on the microbiological quality and AMR of dried fish sold in South African informal markets, particularly the integration of culture-based, molecular, and resistance-profiling approaches in a One Health framework. Materials and Methods: A total of 140 dried fish samples (80 sun-dried, 40 smoked, and 20 salted) were collected from 12 informal markets in Johannesburg and Pretoria using convenience sampling. Total bacterial counts (TBC) were determined on nutrient agar, followed by phenotypic characterization and molecular identification using Results: TBC ranged from 0.8 × 10⁷ to 5.34 × 10⁷ colony forming units/g, with a significant difference between sun-dried and salted fish after Bonferroni adjustment (p = 0.012). Sixty-seven bacterial isolates were identified, dominated by Conclusion: This study provides critical evidence of multidrug-resistant bacteria, including

Indexed as

antimicrobial resistancedried fishfood safetyinformal marketsmicrobial contaminationOne Healthpublic healthSouth Africa

Identifiers

PMID42765037
PMCPMC13590176

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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.