Tuberculosis Infection in the United States
Bibliographic record
Abstract
RATIONALE: In 1989, the United States embarked upon an ambitious path to eliminate tuberculosis (TB) nationwide. Although incidence rates of TB disease in the United States are declining, these cases represent only a tiny fraction of all TB infections. Understanding national trends in TB infection may be important in anticipating future trends in TB disease. OBJECTIVES: Describe the epidemiology of Mycobacterium tuberculosis infection in the United States in 1971-1972 and 1999-2000. METHODS: We studied nationally representative cohorts of the U.S. noninstitutionalized civilian population participating in the 1971-1972 and 1999-2000 National Health and Nutrition Examination Surveys. Participants were tuberculin skin tested and the epidemiology of TB infection was compared across surveys. Logistic regression was used to identify associations between participant and household characteristics and TB infection. MEASUREMENTS AND MAIN RESULTS: In 1999-2000, 4.2% (95% confidence interval [CI], 3.3-5.2%) of the U.S. population aged 1 year or older displayed evidence of TB infection. Among persons aged 25-74, the prevalence of infection decreased from 14.4% in 1971-1972 (95% CI, 11.6-17.7%) to 5.6% in 1999-2000 (95% CI, 4.4-7.1%). Declines in the relative burden of infection among persons aged 25-74 were greater in the United States-born population (12.6 to 2.5%) compared with the nation's foreign-born population (35.9 to 21.3%). CONCLUSIONS: The United States has experienced a substantial decline in the burden of TB infection since the early 1970s. Despite this, the prevalence of infection among the nation's foreign-born population is over eight times greater than that observed in the United States-born population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".