Campylobacteriosis rates show age-related static bimodal and seasonality trends.
Bibliographic record
Abstract
AIM: Campylobacteriosis is highly characterised by a strongly seasonal rate of incidence. Age is also known to be a risk factor for sporadic campylobacteriosis, but little has been done to quantify age-related rates of campylobacteriosis. This study investigates age-related incidence across countries and up to 12 years of data, as well as differences in seasonality within age groups. METHODS: Graphical and statistical analysis of officially collected campylobacteriosis reports from three countries available from official websites. RESULTS: For Australia, New Zealand and Canada, rates of campylobacteriosis show marked peaks at <4 years and 20-29 year age bands. These peaks indicate that stable age-related factors impact on campylobacteriosis epidemiology in all three countries. Seasonality is expressed differently across these age bands, and in years of extremes of incidence. CONCLUSION: Campylobacteriosis is highly seasonal, but overlying this is a stable age-related pattern of incidence, with two peaks approximately 20 years apart. Highest seasonal differences occur with ages between the two peaks.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".