The association of housing density, isolation and tuberculosis in Canadian First Nations communities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: First Nations communities in Canada experience disproportionately high levels of overcrowded housing, degree of isolation, and rates of tuberculosis (TB). A study was done to assess the association between housing density, isolation, and the occurrence of TB in First Nations communities. METHODS: Average persons per room (ppr), isolation type, average household income, population, and TB cases (1997-1999) at the community level were entered into a database. Tuberculosis notification rates and 95% CI were calculated for different strata of ppr and isolation. Two multiple logistic regression models were developed to examine the association of ppr, isolation, income, and population with the occurrence of >/=1, or >/=2, TB cases in a community. RESULTS: The rate was 18.9 per 100,000 (95% CI: 13.3-24.6) in communities with an average of 0.4-0.6 ppr, while communities with 1.0-1.2 ppr had a rate of 113.0 per 100,000 (95% CI: 95.4-130.5). An increase of 0.1 ppr in a community was associated with a 40% increase in risk of >/=2 TB cases occurring, while an increase of $10,000 in community household income was associated with 0.25 the risk, and being an isolated community increased risk by 2.5 times. CONCLUSIONS: This study shows a significant association between housing density, isolation, income levels, and TB. Overcrowded housing has the potential to increase exposure of susceptible individuals to infectious TB cases, and isolation from health services may increase the likelihood of TB.
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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 | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 it