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Record W4200375719 · doi:10.22267/rus.222401.256

Relación de PM2,5 y Enfermedad Respiratoria Aguda en un territorio de Colombia: Modelos Aditivos Generalizados

2021· article· es· W4200375719 on OpenAlexaff
Hugo Grisales Romero, Nora Montealegre, Juan Gabriel Piñeros, Dorian Ospina, Emmanuel Nieto

Bibliographic record

VenueUniversidad y Salud · 2021
Typearticle
Languagees
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of ManitobaResearch Manitoba
Fundersnot available
KeywordsHumanitiesMedicineGeographyArt

Abstract

fetched live from OpenAlex

Introducción: El efecto deletéreo de material particulado fino exterior sobre la salud respiratoria de la población de niños y de adultos mayores, es de interés en salud pública. Objetivo: Establecer el efecto de la contaminación por Material Particulado de menos de 2,5 μm de diámetro (PM2,5), sobre la Enfermedad Respiratoria Aguda (ERA) en los menores de 5 y personas de mínimo 65 años, ajustado por variables meteorológicas y climáticas, en los municipios del Área Metropolitana del Valle de Aburrá (Colombia), 2008 a 2015. Materiales y métodos: Estudio ecológico con información de la red de vigilancia de calidad del aire y de registros de prestación de servicios de salud. Se construyeron Modelos Aditivos Generalizados con función de enlace Poisson y suavización spline. Para cada rezago distribuido se calculó la medida de la asociación e intervalo de confianza. Resultados: Los casos de ERA aumentaron significativamente en los menores de 5 años en Envigado y Caldas (43,3% vs 29,6%) y en los de 65 y más años, en Medellín (13,2%) por cada incremento de 10 µg/m3 en PM2.5 al día quince a partir de la exposición. Conclusiones: Los eventos diarios respiratorios tuvieron especial frecuencia en Medellín y en municipios de la zona sur.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.286
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations3
Published2021
Admission routes1
Has abstractyes

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