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

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-...

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Detalles Bibliográficos
Autores principales: Karanth, Shraddha, Patel, Jitendra, Shirmohammadi, Adel, Pradhan, Abani K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290999/
https://www.ncbi.nlm.nih.gov/pubmed/37377491
http://dx.doi.org/10.1016/j.crfs.2023.100525

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290999/
https://www.ncbi.nlm.nih.gov/pubmed/37377491
http://dx.doi.org/10.1016/j.crfs.2023.100525

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