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Volume 31, Number 4—April 2025
Research

Attribution of Salmonella enterica to Food Sources by Using Whole-Genome Sequencing Data

Erica Billig Rose1, Molly K. Steele1Comments to Author , Beth Tolar, James Pettengill, Michael Batz, Michael Bazaco, Berhanu Tameru, Zhaohui Cui, Rebecca L. Lindsey, Mustafa Simmons, Jess Chen, Drew Posny, Heather Carleton, and Beau B. Bruce
Author affiliation: Centers for Disease Control and Prevention Atlanta, Georgia, USA (E.B. Rose, M.K. Steele, B. Tolar, Z. Cui, R.L. Lindsey, J. Chen, H. Carleton, B.B. Bruce); US Food and Drug Administration, College Park, Maryland, USA (J. Pettengill, M. Batz, M. Bazaco); US Department of Agriculture, Washington, DC, USA (B. Tameru, M. Simmons, D. Posny)

Main Article

Figure 1

Percentage of Salmonella isolates collected from known single source foods in the United States and other countries from 2003–2018 (used as training data in random forest model), by food category (N = 18,661, including 613 isolates collected before 2003).

Figure 1. Percentage of Salmonella isolates collected from known single source foods in the United States and other countries from 2003–2018 (used as training data in random forest model), by food category (N = 18,661, including 613 isolates collected before 2003).

Main Article

1These first authors contributed equally to this article.

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