Related Experiment Video
Updated: Aug 3, 2026

Novel Production Protocol for Small-scale Manufacture of Probiotic Fermented Foods
Published on: September 10, 2016
Meta-Analysis and Meta-Regression Indicate Dynamic Prevalence and Moderators of Foodborne Pathogens in African
Joseph Wambui1, Patrick Murigu Kamau Njage2, Taurai Tasara1
1Institute for Food Safety and Hygiene, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 272, 8057 Zurich, Switzerland.
Abstract:
As more microbiological data for indigenous fermented milk (IFM) becomes available, concern about their microbial safety becomes eminent. Nonetheless, these data are highly fragmented, and a tool is required to integrate existing data and to provide a basis for data-driven decision making for IFM's safety. Therefore, meta-analysis and meta-regression were conducted to estimate the prevalence of foodborne pathogens in IFM and to determine factors influencing the estimated values. Using Africa as a case, searches were systematically made for published data and relevant grey literature. Data from 18 studies in 15 countries were analyzed. Staphylococcus aureus (37%), pathogenic Escherichia coli (16%), Listeria monocytogenes (6%), and Salmonella spp. (3%) were the most prevalent pathogens with a pooled prevalence estimate of 12%. Heterogeneity among prevalence estimates was attributed to sampling point and microbial group but could be moderated by publication year, country cluster, and methods for microbial confirmation. The pooled prevalence estimates increased over time as more studies became available, whereby the odds were higher in studies from 2010 onwards than studies before 2010. From the analyses, S. aureus presented the greatest safety concern in African IFM. Future microbiological studies should take into consideration different IFM sampling points and advanced analytical methods to identify pathogens.
Insights
Microbial safety concerns in African indigenous fermented milk (IFM) are rising. A meta-analysis revealed Staphylococcus aureus as the most prevalent pathogen, highlighting the need for improved detection methods.
Area of Science:
- Food Microbiology
- Public Health
- Food Safety
Background:
- Microbiological data for indigenous fermented milk (IFM) is growing but fragmented.
- Assessing and integrating this data is crucial for ensuring IFM microbial safety.
- A data-driven approach is needed for informed decision-making regarding IFM safety.
Purpose of the Study:
- To estimate the prevalence of foodborne pathogens in African IFM through meta-analysis.
- To identify factors influencing pathogen prevalence in IFM.
- To address the microbial safety concerns associated with IFM consumption.
Main Methods:
- Systematic literature search for published data and grey literature on IFM microbial safety in Africa.
- Meta-analysis and meta-regression of data from 18 studies across 15 African countries.
- Analysis of pathogen prevalence, heterogeneity, and influencing factors.
Main Results:
- A pooled prevalence of 12% for foodborne pathogens was estimated in African IFM.
- Staphylococcus aureus (37%), pathogenic Escherichia coli (16%), Listeria monocytogenes (6%), and Salmonella spp. (3%) were the most common pathogens.
- Prevalence estimates increased over time, with higher odds in studies from 2010 onwards. Sampling point and microbial group influenced heterogeneity.
Conclusions:
- Staphylococcus aureus poses the most significant microbial safety risk in African IFM.
- Factors like sampling point, country, and analytical methods influence pathogen prevalence.
- Future research should focus on diverse sampling points and advanced methods for pathogen identification in IFM.
Related Concept Videos
Microbes in Food Production
Microbes in the Production of Fermented Foods
Sources of Food Contamination
Development of Human Microbiota
Microbiota Modulation by Antibiotics
Clinical Significance of Antibiotic Resistance

