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Record W2471590156

The epidemiology of tuberculosis in Ottawa, Canada, 1995-2004.

2008· article· en· W2471590156 on OpenAlexaffabout
Kim J, Marie‐Claude Langevin, Wylie El, Anne McCarthy

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineGynecologyTuberculosisHuman immunodeficiency virus (HIV)HumanitiesFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: In Ottawa (population 774,072), active tuberculosis (TB) cases are reported to Ottawa Public Health. There has been no comprehensive local epidemiological analysis to date. We report the epidemiology of TB in Ottawa and identify areas of improvement. METHODS: We reviewed TB cases reported to the Reportable Disease Information System from 1995 to 2004 to determine epidemiological characteristics, drug resistance, use of directly observed treatment (DOT) and rates of human immunodeficiency virus (HIV) co-infection. RESULTS: A total of 584 TB cases (79% foreign-born) were analyzed (average annual incidence 7.5/100,000). Anatomical site of disease followed national trends, with 58% being pulmonary TB. DOT was applied in 49% of total cases. Culture results were available for 385 (66%) and resistance was found in 46 (12%) cases. HIV testing results were available for only 139 cases: 24% were positive. CONCLUSION: Overall, Ottawa TB rates are slightly higher than national rates, yet they reflect national trends. The surveillance data were imperfect, with poor or no recording of aboriginal origin, adverse events and treatment outcomes. Reported resistance patterns may be underestimated, as only 66% had cultures. HIV testing was underutilized. Given the high mortality with TB-HIV co-infection, testing should be routine. Correcting these limitations will improve surveillance data and TB control in the future.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.073
Threshold uncertainty score0.529

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.009
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.048
GPT teacher head0.288
Teacher spread0.241 · 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

Citations9
Published2008
Admission routes2
Has abstractyes

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Same venuePubMed→Same topicTuberculosis Research and Epidemiology→French-language works237,207→