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Record W2789360100 · doi:10.14745/ccdr.v43i01a03

Outbreak of Salmonella Reading in persons of Eastern Mediterranean origin in Canada, 2014–2015

2017· article· en· W2789360100 on OpenAlexafffundvenueabout
Florence Tanguay, Linda Vrbova, M. Anderson, Yvonne Whitfield, Laura Macdonald, Lorelee Tschetter, April Hexemer

Bibliographic record

VenueCanada Communicable Disease Report · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSalmonella and Campylobacter epidemiology
Canadian institutionsUniversity of TorontoPublic Health OntarioPublic Health Agency of Canada
FundersHealth CanadaOntario Ministry of Health and Long-Term CarePublic Health AgencyPublic Health Agency of CanadaCanadian Food Inspection AgencyAlberta Health Services
KeywordsOutbreakMedicineEnvironmental healthGeographySalmonellaDemographyBiologyVirology

Abstract

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Background: Salmonella Reading (S.Reading) is a rare serotype of Salmonella subspecies (spp.) in Canada with less than nine cases reported each year (2011)(2012)(2013).An increase in S. Reading was identified in several Canadian provinces in early 2015, prompting the initiation of a national outbreak investigation.Objectives: To describe a multi-provincial S. Reading outbreak in Canada that affected over 30 people.Methods: Cases were defined as laboratory-confirmed S. Reading with related pulsed-field gel electrophoresis (PFGE) patterns.Onset dates were between November 2014 and September 2015.Early in the investigation, investigators noted cases were predominantly of Eastern Mediterranean origin, mainly Afghan and Lebanese and many of those affected had consumed food items not typically captured on standard enteric outbreak hypothesis-generating questionnaires.An open-ended three day food consumption survey was conducted with a convenience sample of community informants to better understand food preferences of the affected ethnocultural populations.Results of the survey were used to design a focused questionnaire for case re-interviews and subsequent outbreak cases.Public health investigators obtained food samples from case homes and relevant food premises.Food safety authorities conducted traceback of suspected food items and collected food samples for laboratory testing.Results: There were 31 confirmed cases (Ontario=23, Alberta=7, New Brunswick=1) and three probable (Ontario=2, Alberta=1) cases of S. Reading identified as part of the outbreak.The median age was 31 years (range less than one to 85 years) and 53% (18/34) of cases were female.Seven cases were hospitalized.No deaths were reported.Most cases were of Eastern Mediterranean origin (n=23) or had reported consuming Eastern Mediterranean foods (n=3).The predominant ethnic origins reported by cases were Afghan in Ontario (n=12) and Lebanese in Alberta (n=3).Genetic similarity of clinical isolates was further confirmed using whole genome sequencing.Three ethnic bakeries were identified as possible common exposures for the cases; however, traceback of foods of interest from these bakeries did not identify a common supplier and the source of the illness was not identified.In total, 227 food samples from retail premises (n=142), restaurants (n=13) and case homes (n=72) were tested; two food samples, kalonji seeds and tahini, were positive for S. Ruiru and S. Meleagridis.These products were recalled from the marketplace.Conclusion: Despite extensive epidemiological, microbiological and food traceback investigations, a common source was not identified for this S. Reading outbreak.Challenges included lack of familiarity with the food items consumed in affected ethnocultural groups, as well as a lack of background data on expected food exposures in the outbreak population.Engaging local partners helped build understanding of food preferences in affected communities.Given Canada's ethnic and cultural diversity, culturally competent approaches to enteric outbreak investigations and food consumption surveys may be useful.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.033
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.274
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2017
Admission routes4
Has abstractyes

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