Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data
Most Cited Paper
in Salmonella and Campylobacter epidemiology
18 Months Post-Publication
Class of 2026
“Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data”
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Topics
Campylobacter jejuni · Campylobacter coli · source attribution · machine learning · probabilistic models · pathogen genomic surveillance · host adaptation · antimicrobial resistance · multidrug resistance · poultry reservoir · cattle reservoir · wild birds reservoir · campylobacteriosis · whole genome sequencing · bioinformatics · PulseNet surveillance · NARMS · FSIS surveillance · pubMLST · genetic variation
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Salmonella and Campylobacter epidemiology Papers, Class of 2026. https://pri.pepkio.com/top-papers/salmonella-and-campylobacter-epidemiology/2026. Accessed 2026-07-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459