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Record W4409744052 · doi:10.1016/j.jfp.2025.100519

An International Outbreak Investigation of Salmonella Enteritidis Infections in the United States and Canada Linked to Peaches – 2020

2025· article· en· W4409744052 on OpenAlexafffundabout
Asma Madad, Michael Vasser, Stelios Viazis, K. Neil, Margaret Kirchner, Tyann Blessington, Arthur Pightling, David T. Ingram, Laura Grunenfelder, S. Hughes, Rebecca Bell, Hua Wang, Brittany Nork, Estefanı́a Fernández, Kevin Gerrity, Evelyn Ladines, Kelley Hise, Omar Hummadi, Amber N. Barnes, Anne‐Marie Lowe, Ashley Kearney, Laura Gieraltowski, Monique Salter, Michael C. Bazaco, Christina K. Carstens

Bibliographic record

VenueJournal of Food Protection · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsPublic Health Agency of CanadaCanadian Food Inspection Agency
FundersFood Safety and Inspection ServiceAnimal and Plant Health Inspection ServiceOffice of Innovation and ImprovementCenters for Disease Control and PreventionPublic Health Agency of CanadaCanadian Food Inspection AgencyIowa Department of Public HealthCalifornia Department of Food and AgricultureCalifornia Department of Public HealthU.S. Food and Drug AdministrationState of Connecticut Department of Public HealthMaryland Department of Health
KeywordsSalmonella enteritidisOutbreakSalmonellaSalmonella Food PoisoningBiologyMicrobiologyGeographyVirologyEnvironmental healthMedicineBacteria

Abstract

fetched live from OpenAlex

• An international outbreak of Salmonella Enteritidis infections linked to peaches. • Epidemiologic, traceback, and microbiologic data were used in the investigation. • Investigators assessed potential factors leading to the contamination of peaches. • Recovered other strains of Salmonella closely related to historical animal isolates. • Windborne or fugitive dust may have been a route of peach contamination. During August–October 2020, United States federal, state, and Canadian partners investigated an outbreak of Salmonella Enteritidis infections, in the U.S. and Canada, linked to fresh, whole peaches packed and supplied by a grower and packer with multiple orchards (Farm A). In the U.S., a total of 101 ill people and 28 hospitalizations were reported in 17 states, while in Canada, 57 ill people and 12 hospitalizations were reported in two Canadian provinces. The U.S. traceback investigation included 14 points of service (POS), representing 18 illnesses in eight states. Multiple distributors, packinghouses, and orchards supplied bagged and loose peaches during the timeframe of interest to identified POS, with peaches and packinghouses linked to Farm A being the primary source. Orchards of interest were identified for peach fruit, orchard tree leaf, and soil drag swab sample collection using traceback and geospatial analysis. Geospatial analyses showed that several orchards were in proximity to animal operations. While none of the Salmonella isolates recovered matched the outbreak strain , Salmonella Alachua was recovered from peaches and leaf samples, and Salmonella Montevideo was recovered from orchard tree leaves. Whole genome sequencing indicated that these Salmonella isolates were closely related to historical poultry and cattle isolates. Farm A voluntarily recalled loose peaches sold from June 1 to August 3, 2020, and bagged Brand A conventional and organic peaches sold from June 1 to August 19, 2020. Recalled products were likely distributed to at least 14 different countries. Findings suggest that adjacent animal operations may be a potential contributing factor to Salmonella contamination of peaches, with windborne or fugitive dust as a possible route. The findings from this first reported international outbreak of Salmonella linked to peaches grown in the U.S. highlight the importance of grower awareness of adjacent land use.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.246
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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