Multistate animal-contact-related nontyphoidal Salmonella enterica outbreaks in the United States, 2009-2022: Network and machine learning analyses of exposure sources, settings, and serovars.
- DOI
- 10.1371/journal.pone.0344889
- Published
- 2026-06-05
- Container
- PLoS One
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0344889,
title = {Multistate animal-contact-related nontyphoidal Salmonella enterica outbreaks in the United States, 2009-2022: Network and machine learning analyses of exposure sources, settings, and serovars.},
author = {Bajwa HUR and Bhowmick S and Varga C.},
year = {2026},
journal = {PLoS One},
doi = {10.1371/journal.pone.0344889},
url = {https://doi.org/10.1371/journal.pone.0344889}
}RIS
TY - JOUR TI - Multistate animal-contact-related nontyphoidal Salmonella enterica outbreaks in the United States, 2009-2022: Network and machine learning analyses of exposure sources, settings, and serovars. AU - Bajwa HUR AU - Bhowmick S AU - Varga C. PY - 2026 JO - PLoS One DO - 10.1371/journal.pone.0344889 UR - https://doi.org/10.1371/journal.pone.0344889 ER -
APA
HUR, B., S, B., & C., V. (2026). Multistate animal-contact-related nontyphoidal Salmonella enterica outbreaks in the United States, 2009-2022: Network and machine learning analyses of exposure sources, settings, and serovars.. PLoS One. https://doi.org/10.1371/journal.pone.0344889
Source records
- europe-pmc · retrieved 2026-09-27T12:20:55.555Z
- doaj · retrieved 2026-09-27T12:20:55.519Z