The impact of transportation equity on healthcare accessibility for children with asthma
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.
Bibliographic record
Abstract
Equitable access to healthcare facilities is essential to quality of life. However, many vulnerable communities encounter barriers because transportation systems are not designed to serve all residents equally. These disparities are particularly significant for childhood asthma, a public health concern where timely care is essential to prevent adverse outcomes. This study addresses the gaps in understanding how various transportation modes, including public transit, private vehicles, and taxis, influence healthcare accessibility for children with asthma. Using data from 18,393 hospital visits in Calgary, Canada (2010–2021), we evaluate spatiotemporal accessibility across three travel modes, considering emergency and non-emergency healthcare visit scenarios with varying travel cost thresholds through a two-step floating catchment area (2SFCA) method. Horizontal equity is quantified using the Gini coefficient, while vertical equity incorporates socioeconomic factors and asthma prevalence. Our findings reveal that personal vehicles provide the highest and most reliable accessibility, especially during emergencies, whereas public transit frequently fails to meet emergency accessibility demands, particularly at night. Taxis tend to be unaffordable for low-income users but offer comparable accessibility for higher-income travelers in non-emergency contexts. The vertical equity analysis identifies areas characterized by high socioeconomic vulnerability, elevated asthma prevalence, and limited access to healthcare, highlighting zones that warrant targeted interventions to enhance equity in healthcare accessibility.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it