MétaCan
Menu
Back to cohort
Record W4403163042 · doi:10.1080/09603123.2024.2412141

Chronic obstructive pulmonary disease attributable to air pollution in the South Asian countries: global burden of disease study 1990 - 2019

2024· article· en· W4403163042 on OpenAlexaff
Dipak Rana, Bishwajit Ghose

Bibliographic record

VenueInternational Journal of Environmental Health Research · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBurden of diseaseCOPDEnvironmental healthMedicineDisease burdenYears of potential life lostAir pollutionPulmonary diseaseDemographyEnvironmental protectionLife expectancyGeographyPopulation

Abstract

fetched live from OpenAlex

This study investigates the burden of COPD attributable to air pollution in South Asia using data from the Global Burden of Disease Study from 1990 to 2019. Method Data for this study were obtained from the Global Burden of Disease Study 2019. The burden was measured in terms of death, disability-adjusted life years (DALYs), and Years of life lost (YLLs). Results Since 1990, several countries in South Asia registered substantial declines in mortality rates attributed to COPD, ranging from -37.47% in Pakistan to -66.25% in Bangladesh. Similar trends were observed for DALYs and YLLs as well, which have potentially contributed to a considerable decrease in mortality rates at the regional level (-43.13%) compared to a 32.59% decline in Low SDI and 56.87% decline globally. Conclusion Despite significant declines since 1990, the burden of COPD attributable to air pollution reductions in the South Asian region's rates remains alarmingly high.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.247
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.421
Teacher spread0.357 · 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 teacher head, 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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Environmental Health ResearchSame topicAir Quality and Health ImpactsFrench-language works237,207