ArticleScientific data2020
Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- First Forensic Case of Fatal Salmonella typhimurium var. Copenhagen Gastroenteritis Diagnosed by Postmortem Microbiology.The American journal of forensic medicine and pathology · 2026Article
- Attribution of Salmonella enterica to Food Sources by Using Whole-Genome Sequencing Data.Emerging infectious diseases · 2025Article
- Integration sites ofFrontiers in microbiology · 2025Article
- Comparison of three source attribution methods applied to whole genome sequencing data of monophasic and biphasicFrontiers in microbiology · 2024Article
- Exploring the Multifaceted Potential of a Peptide Fraction Derived fromAntibiotics (Basel, Switzerland) · 2023Article
- Development and validation of a random forest algorithm for source attribution of animal and humanFrontiers in microbiology · 2023Article
- Clinical Characteristics and Drug Resistance Analysis of 90 Cases of Children with Salmonella Enteritis.Computational and mathematical methods in medicine · 2022Article
- Antimicrobial Resistance and Genomic Characterization of Six New Sequence Types in Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021Article
- Bayesian Source Attribution ofFrontiers in microbiology · 2021Article
- The Spatiotemporal Dynamics and Microevolution Events That Favored the Success of the Highly Clonal Multidrug-Resistant MonophasicFrontiers in microbiology · 2021Article
- Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder.The Journal of antimicrobial chemotherapy · 2021Article
- Application of Whole-Genome Sequences and Machine Learning in Source Attribution of Salmonella Typhimurium.Risk analysis : an official publication of the Society for Risk Analysis · 2020Article
- AB_SA: Accessory genes-Based Source Attribution - tracing the source ofMicrobial genomics · 2020Article
- Four European Salmonella Typhimurium datasets collected to develop WGS-based source attribution methods.Scientific data · 2020Article
- Network Approach to Source Attribution ofFrontiers in microbiology · 2020Article
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16 authors.
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Abstract
Zoonotic Salmonella causes millions of human salmonellosis infections worldwide each year. Information about the source of the bacteria guides risk managers on control and preventive strategies. Source attribution is the effort to quantify the number of sporadic human cases of a specific illness to specific sources and animal reservoirs. Source attribution methods for Salmonella have so far been based on traditional wet-lab typing methods. With the change to whole genome sequencing there is a need to develop new methods for source attribution based on sequencing data. Four European datasets collected in Denmark (DK), Germany (DE), the United Kingdom (UK) and France (FR) are presented in this descriptor. The datasets contain sequenced samples of Salmonella Typhimurium and its monophasic variants isolated from human, food, animal and the environment. The objective of the datasets was either to attribute the human salmonellosis cases to animal reservoirs or to investigate contamination of the environment by attributing the environmental isolates to different animal reservoirs.
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