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Record W3198937768 · doi:10.1016/j.apr.2021.101198

Exposure to urban air pollution and emergency department visits for diseases of the ear and mastoid processes

2021· article· en· W3198937768 on OpenAlex
Anna Lukina, Aubrey Maquiling, Brett Burstein, Mieczysław Szyszkowicz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAtmospheric Pollution Research · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsMcGill UniversityMcGill University Health CentreMontreal Children's HospitalHealth Canada
FundersEnvironment and Climate Change Canada
KeywordsAir pollutionEmergency departmentMedicinePoisson regressionAir pollutant concentrationsEnvironmental healthOzonePollutantAir pollutantsNitrogen dioxideEnvironmental scienceMeteorologyPopulationGeography

Abstract

fetched live from OpenAlex

Exposure to ambient air pollutants may cause adverse health effects. This study sought to assess the association of five major air pollutants concentration levels and number of Emergency Department (ED) visits for ear and mastoid pathology in the large Canadian urban city, Toronto. A time-stratified case-crossover study design was used for the period between April 1, 2004 and December 31, 2015. Daily air pollution data were collected from the National Air Pollution Surveillance Database for carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ground-level ozone (O3) and fine particulate matter (PM2.5). Data were also collected for weather variables. ED visit data were extracted from the National Ambulatory Care Reporting System database. Conditional Poisson models were applied using daily counts of the ED visits. Temperature and relative humidity in the models were represented by natural splines. Independent variables (air pollutants and weather conditions) were lagged by the same number of exposure days, from 0 to 14. The analyses were grouped by strata according to patients’ sex and age, also by seasons. For each studied pollutant, 270 models were derived (15 lags × 18 strata). There were 188,997 ED visits during the 140-month study period. Children under 10 years represented 31.7% of all visits, compared to 53.8% for patients aged 11–60 years, and 14.5% for those above 60 years. Short-term (time lags 4 and 5 days) NO2 exposure was positively associated with number of ED visits for ear and mastoid pathology for children independent of sex. Boys had relative risks (RR) of 1.030 (95% confidence intervals: 1.009–1.053) and 1.033 (1.011–1.055) for ED visits on days 4 and 5 after exposure to NO2 by one interquartile range (IQR = 8.8 ppb), respectively. Girls had RR of 1.046 (1.021–1.071) and 1.039 (1.014–1.064) on days 4 and 5 after exposure to NO2 by the same IQR, respectively. For lag 4, a one unit increase in the calculated air quality health index results in a 1.038 (1.020–1.057), 1.042 (1.017–1.067), and 1.036 (1.014–1.058), for all children, girls, and boys, respectively. In this large urban cohort, number of ED visits for ear and/or mastoid process infections peaked in the acute period following elevated overall air pollution and NO2 specifically, especially among young children.

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.

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)0.001
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 score0.265
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.345
Teacher spread0.304 · 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