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Machine learning to predict foodborne salmonellosis outbreaks based on genome characteristics and meteorological trends

1 Jan 2023

Abstract excerpt

Several studies have shown a correlation between outbreaks of Salmonella enterica and meteorological trends, especially related to temperature and precipitation. Additionally, current studies based on outbreaks are performed on data for the species Salmonella enterica, without considering its intra-species and genetic heterogeneity. In this study, we analyzed the effect of differential gene expression and a suite...

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Share to Listeria monocytogenes in Food Safety
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 37377491
DOI: 10.1016/j.crfs.2023.100525

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