Risk factors associated with sporadic Campylobacter, Salmonella and verotoxin-producing Escherichia coli in different regions within Manitoba
Bibliographic record
Abstract
Campylobacter, Salmonella and VTEC infect hundreds of Manitobans annually.Thus the purpose of this study is to determine the risk factors for the three infections and the geographic distribution of these factors.The population under study was identified through Manitoba Health's surveillance system.Data was collected using a standard questionnaire and controls were case nominated.Data analysis included case-case comparisons by infection, location and infection stratified by location.Infection rates were higher in rural youth, particularly for those infected with Campylobacter, which was found to be associated with 'rLlral' risk factors.Salmonella was found to be associated with urban or semi-urban lifestyle.VTEC infection was found to be related to outdoor recreational activities.The methodology used provided a cost-effective technique of accessing almost all eligible lab-confirmed cases, however, the nomination of controls by cases was unsuccessful and an alternate method would be needed if future studies of this type are undertaken.throughout this process.I would also like to thank my committee members Debbie Nowicki, Dr. Lawrence Elliott and Dr. Tim Hilderman for your expertise and constructive reviews over the course of the project.To all the front line and behind the scenes health care workers in Manitoba, and particularly those who participated in this project, thank you for you hard work and dedication to the health and well-being of Manitobans. Many thanks go out to my family and friends
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".