ArticleOne health outlook2020
Evaluation of WGS-subtyping methods for epidemiological surveillance of foodborne salmonellosis.
Article in One health outlook, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Article
- Development of a Bacterial Lysate from Antibiotic-Resistant Pathogens Causing Hospital Infections.Microorganisms · 2025Article
- Parameters for one health genomic surveillance of Escherichia coli from Australia.Nature communications · 2025Article
- Foodborne Pathogen Prevalence and Biomarker Identification for Microbial Contamination in Mutton Meat.Biology · 2024Article
- Intracranial infection and sepsis in infants caused byWorld journal of clinical cases · 2023Article
- Genomic analysis of Anderson typing phages of Salmonella Typhimrium: towards understanding the basis of bacteria-phage interaction.Scientific reports · 2023Article
- Large-scale comparative genomics to refine the organization of the globalMicrobial genomics · 2022Article
- Comparison of Conventional Molecular and Whole-Genome Sequencing Methods for DifferentiatingMicroorganisms · 2021Article
- Characterisation of Phage Susceptibility Variation inMicroorganisms · 2021Article
- Review
- Antimicrobial resistance and genomic characterization of Salmonella Dublin isolates in cattle from the United States.PloS one · 2021Article
- Discerning the Antimicrobial Resistance, Virulence, and Phylogenetic Relatedness ofFrontiers in microbiology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSalmonellosis is one of the most common foodborne diseases worldwide. Although human infection by non-typhoidal
methodsHere, we used different whole genome sequence (WGS)-based subtyping methods for retrospective investigation of two different outbreaks of
resultsSingle nucleotide polymorphism (SNP)-based cluster analysis of
conclusionsFoodborne salmonellosis is an important concern for public health therefore, it is crucial to use accurate, reliable and highly discriminative subtyping methods for epidemiological surveillance and outbreak investigation. In this study, we showed that SNP-based analyses do not only have the ability to confirm the occurrence of the outbreak but also to provide definitive evidence of the source of the outbreak in real-time.
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