Econometric Assessment Of The Relationship Between Air Pollution And Asthma
Bibliographic record
Abstract
Background: This study was carried out to determine the impact of Non-methane volatile organic compounds (NMVOC) on the disease of Asthma. Methods: In the analysis, the relationship between NMVOC and disease of asthma was analyzed by using panel data method. In the analyzes; the Least Squares Method, unit root tests, cointegration tests and FMOLS-DOLS tests were used. 15 countries were determined for this study that have regular data between 1990-2018 about NMVOC. These countries were Canada, Czech Republic, Denmark, Finland, France, Greece, Iceland, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden, and Turkey. As the disease; Disability-Adjusted Life Years (DALYs) of asthma was calculated per capita and included in the analysis. Results: Significant relationships were found between NMVOC and disease of asthma in the study. A long-term relationship has been identified between the disease of asthma and NMVOC. The regression analysis revealed that the 1-unit increase in NMVOC created an increase of 0.0000375-0.0000413 units on the burden of disease of asthma. Conclusions: The empirical evidence revealed that NMVOC has increased the disease of Asthma.
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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 | 0.001 | 0.000 |
| 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 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".