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Record W2178144107 · doi:10.1007/978-1-62703-149-3_5

Environmental and Occupational Causes of Asthma

2012· book-chapter· en· W2178144107 on OpenAlexaff
Marcos Ribeiro, Susan M. Tarlo

Bibliographic record

VenueHumana Press eBooks · 2012
Typebook-chapter
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsSt. Michael's HospitalUniversity Health NetworkToronto Western Hospital
Fundersnot available
KeywordsAsthmaEnvironmental healthAir pollutionEnvironmental scienceParticulatesPollutantIndoor bioaerosolEnvironmental engineeringEnvironmental protectionToxicologyMedicineEcologyBiologyImmunology

Abstract

fetched live from OpenAlex

Airborne allergens are one of the major causes of asthma. People living in urban areas more frequently experience allergic respiratory symptoms than those living in rural areas. Seasonal exposure to outdoor allergens, (pollens, and molds) is an important cause. Identification and reduction of exposure to allergens is a very important part of the management of respiratory allergic diseases. Indoor humidity and water damage are important factors in the production of mite and mold allergens, and discarded human food items are important sources of proliferation of cockroaches and mice. The particular plants or molds and the amount of exposure to these allergens are determined by the local climate, and published local pollen and mold counts are available to determine the time and amount of exposure. One of several causes of the rise in morbidity associated with allergic respiratory diseases is the increased presence of outdoor air pollutants resulting from more intense energy consumption and exhaust emissions from cars and other vehicles. Urban air pollution is now a serious public health hazard. The most abundant components of urban air pollution in urban areas with high levels of vehicle traffic are airborne particulate matter, nitrogen dioxide, and ozone. In addition, the earth’s temperature is increasing, mainly as a result of factors like fossil fuel combustion and greenhouse gas emissions from energy supply, transport, industry, and agriculture, and climate change alters the concentration and distribution of air pollutants and interferes with the seasonal presence of allergenic pollens. Occupational asthma is the most common occupational respiratory disorder in industrialized countries and more than 250 agents have been reported to cause occupational asthma. The most frequent are diisocyanates, flour and grain dust, airborne particles from other foods (especially fish), colophony and fluxes, latex, animals (especially laboratory animals), aldehydes, and wood dust. For physicians caring for adult patients with asthma, an understanding of the contribution of occupational exposure to the pathogenesis of the disease is important. Prevention of new cases is the best approach to reducing the burden of asthma attributable to occupational exposures.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.053
GPT teacher head0.272
Teacher spread0.219 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes1
Has abstractyes

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