# Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data

*PRI Rank #9 · Topics and Trends in Most Cited Salmonella and Campylobacter epidemiology Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/salmonella-and-campylobacter-epidemiology/2026/rank-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 28 |
| Journal | Journal of Infection |
| Year | 2024 |
| DOI | 10.1016/j.jinf.2024.106265 |
| Corresponding authors | Samuel K. Sheppard |
| Institution | University of Oxford, United Kingdom |

**Ranking page:** [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)

**Paper link:** [10.1016/j.jinf.2024.106265](https://doi.org/10.1016/j.jinf.2024.106265)

## 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

## Cite this ranking

```
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.

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
```