Annual trends of hepatitis C virus infection in Manitoba between 1998 and 2018: A focus on special populations
Bibliographic record
Abstract
Background: Hepatitis C virus (HCV) infection is a major cause of liver-related morbidity and mortality worldwide. Epidemiological data of HCV infection in the Canadian province of Manitoba are limited. Methods: A population-based retrospective study was conducted using data from the Manitoba Centre for Health Policy repository. Using the test results provided by the Cadham provincial laboratory, individuals in Manitoba with a diagnosis of HCV infection were identified. Annual prevalence and incidence rates (crude and standardized) were calculated for the overall population and stratified by sex, regional health authority (RHA), residence area, income quintile, and special population groups (children, older adults, and pregnant persons). Results: A total of 8,721 HCV cases were diagnosed between 1998 and 2018 in Manitoba. Overall crude HCV incidence and prevalence were estimated as 0.03% and 0.37% during the study period, respectively. No significant change was observed in the standardized HCV incidence rate (per 100,000) during the study period (54.3 in 1998 and 54.8 in 2018). However, the standardized HCV prevalence (per 100,000) increased from 52.5 (95% CI 39.2-68.7) in 1998 to 655.2 (95% CI 605.9-707.3) in 2018. An overall average incidence rate based on sex, RHA, region, income, and special population groups was observed to be higher in males (40.1), Winnipeg RHA (42.7), urban region (42.3), low-income quintiles (78.5), and pregnant persons (94.3), respectively. Conclusion: Although incidence rates of HCV infection in Manitoba appeared to have initially declined, rates showed an upward trend by the end of the study period while prevalence increased steadily.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".