Seasonal variation of Salmonella enterica prevalence in milk and cottage cheese along the dairy value chain in three regions of Ethiopia

Seasonal fluctuations influence foodborne illness transmission and affect patterns of microbial contamination of food. Previous investigations on the seasonality of Salmonella enterica prevalence in dairy products in Ethiopia have been minimal. However, such data are needed to inform strategic devel...

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Bibliographic Details
Published in:Food safety and risk 2024-12, Vol.11 (1), p.2-2, Article 2
Main Authors: Admasu, Henok Nahusenay, Bedassa, Abdi, Tessema, Tesfaye Sisay, Kovac, Jasna, Vipham, Jessie L., Woldegiorgis, Ashagrie Zewdu
Format: Article
Language:English
Subjects:
Cheese
Chemistry
Chemistry and Materials Science
Chi-square test
Cottage cheese
Dairy products
Dry season
Food contamination
Food safety
Food Science
Foodborne diseases
Hygiene
invA gene
Longitudinal studies
Microbial contamination
Microorganisms
Milk
Milk production
Pasteurization
Pasteurized milk
Product safety
Rainy season
Random sampling
Raw milk
Salmonella
Salmonella enterica
Season
Seasonal variations
Seasons
Statistical sampling
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Summary:Seasonal fluctuations influence foodborne illness transmission and affect patterns of microbial contamination of food. Previous investigations on the seasonality of Salmonella enterica prevalence in dairy products in Ethiopia have been minimal. However, such data are needed to inform strategic development of effective interventions to improve food safety, as seasonal differences may affect intervention strategies. This study was conducted to identify differences in the prevalence of Salmonella in milk and cheese samples between wet and dry seasons. A longitudinal study design was utilized with a random sampling occurring during both dry and wet seasons. A total of 448 milk and cottage cheese samples were collected from Oromia, Sidama, and Amhara regions. Samples were tested for Salmonella using the ISO 6579-1: 2008 method, followed by PCR confirmation. A chi-square test was conducted to assess the significance of differences in the prevalence of Salmonella in the samples between the two seasons. Results from this study showed a higher prevalence of Salmonella in all sample types during the dry season ( P  
ISSN:2731-9245
2731-9245
2196-2804
DOI:10.1186/s40550-024-00108-4