ArticleThe Journal of infection2024
Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data.
Article in The Journal of infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Genomic signatures of host adaptation in Pasteurella multocida from poultry, cattle, swine, and cats: insights from interpretable machine learning.Poultry science · 2026Article
- AcceleratingProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Protocols for genomic epidemiology and source attribution of enteric bacteria causing diarrhoeal disease across Africa.BMJ open · 2026Article
- GeneScanner: profiling genetic variation across bacterial populations.Microbial genomics · 2026Article
- [Trends of antibiotic use and resistance in livestock from 2014 to 2024 using the example of fattening turkeys and broiler chickens as well as the effects on humans].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026Article
- Genome-based source attribution using a One HealthMicrobial genomics · 2026Article
- Genomic epidemiology ofProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Detection ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- The influence, promise, and potential perils of artificial intelligence in veterinary medicine: a call for improved awareness and literacy.Journal of veterinary internal medicine · 2026Article
- Everything is everywhere but Escherichia coli adapts to different niches.The ISME journal · 2026Article
- Article
- WGS-based surveillance for Campylobacter spp. in human infections and chicken meat production in Italy (2023).BMC microbiology · 2025Article
- Evidence of diversification and geographic separation in a lineage ofMicrobial genomics · 2025Article
- Genomic epidemiology and the evolution ofMicrobial genomics · 2025Article
- Spatiotemporal analysis and risk prediction of foodborne diseases based on meteorological risk factors: a case study of Wuxi city, China.BMC infectious diseases · 2025Article
- Machine learning and statistical inference in microbial population genomics.Genome biology · 2025Review
- Phenotypic characterization and antimicrobial resistance ofJournal of advanced veterinary and animal research · 2025Article
- FliO is an evolutionarily conserved yet diversified core component of the bacterial flagellar type III secretion system.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Growth rates and metabolic traits differ by diarrhoeal manifestation inJournal of medical microbiology · 2025Article
- Identification of Novel Gene-Specific Markers for Differentiating Various PathogenicPathogens (Basel, Switzerland) · 2025Article
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Authors and funding
21 authors.
Funding
Abstract
objectivesIntegrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant Campylobacter species, which are commonly found in the gut of birds and mammals and often infect humans via contaminated food. Rising incidence and antimicrobial resistance (AMR) are a global concern, and there is an urgent need to quantify the main routes to human infection.
methodsDuring routine US national surveillance (2009-2019), 8856 Campylobacter genomes from human infections and 16,703 from possible sources were sequenced. Using machine learning and probabilistic models, we target genetic variation associated with host adaptation to attribute the source of human infections and estimate the importance of different disease reservoirs.
resultsPoultry was identified as the primary source of human infections, responsible for an estimated 68% of cases, followed by cattle (28%), and only a small contribution from wild birds (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly among isolates attributed to chickens.
conclusionsNational surveillance and source attribution can guide policy, and our study suggests that interventions targeting poultry will yield the greatest reductions in campylobacteriosis and spread of AMR in the US. DATA AVAILABILITY: All sequence reads were uploaded and shared on NCBI's Sequence Read Archive (SRA) associated with BioProjects; PRJNA239251 (CDC / PulseNet surveillance), PRJNA287430 (FSIS surveillance), PRJNA292668 & PRJNA292664 (NARMS) and PRJNA258022 (FDA surveillance). Publicly available genomes, including reference genomes and isolates sampled worldwide from wild birds are associated with BioProject accessions: PRJNA176480, PRJNA177352, PRJNA342755, PRJNA345429, PRJNA312235, PRJNA415188, PRJNA524300, PRJNA528879, PRJNA529798, PRJNA575343, PRJNA524315 and PRJNA689604. Contiguous assemblies of all genome sequences compared are available at Mendeley data (assembled C. coli genomes doi: 10.17632/gxswjvxyh3.1; assembled C. jejuni genomes doi: 10.17632/6ngsz3dtbd.1) and individual project and accession numbers can be found in Supplementary tables S1 and S2, which also includes pubMLST identifiers for assembled genomes. Figshare (10.6084/m9.figshare.20279928). Interactive phylogenies are hosted on microreact separately for C. jejuni (https://microreact.org/project/pascoe-us-cjejuni) and C. coli (https://microreact.org/project/pascoe-us-ccoli).
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