Evolution of the Global Tobacco Surveillance System (GTSS) 1998–2008
Bibliographic record
Abstract
Tobacco use is one of the leading preventable causes of morbidity and mortality worldwide. Given that country-specific international data on tobacco use were limited or nonexistent, in 1998, the World Health Organization (WHO), the Centers for Disease Control and Prevention (CDC), and the Canadian Public Health Association (CPHA) initiated the Global Tobacco Surveillance System (GTSS) to assist countries in establishing tobacco control surveillance and monitoring programs. GTSS includes collection of data through three school-based surveys: the Global Youth Tobacco Survey (GYTS) for youth; the Global School Personnel Survey (GSPS), and the Global Health Professions Student Survey (GHPSS) for adults; and one household survey: the Global Adult Tobacco Survey (GATS) for adults. The GTSS provides a globally implemented and consistent framework for conducting surveillance including standard sampling procedures, core questionnaire items, training in field procedures and analysis of data consistent across all GTSS countries. The GTSS also enhances the role of the nongovernmental sector by supporting participation of civil society agencies in surveillance, monitoring, and policy and program development. The synergy between countries passing tobacco control laws, regulations or decrees, ratifying and complying with the WHO Framework Convention on Tobacco Control, and conducting GTSS surveys offers a unique opportunity to develop, implement, and evaluate comprehensive tobacco control policy that can be helpful to each country document the development, growth, and collaboration in sustaining the GTSS. The report highlights countries' involvement in tobacco control measures and the establishment of comprehensive tobacco control programs worldwide. This report can assist countries in prioritizing and developing tobacco control programs, including surveillance, evaluation, and policy development.
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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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".