ArticleThe Science of the total environment2018
Land use regression models to assess air pollution exposure in Mexico City using finer spatial and temporal input parameters.
Article in The Science of the total environment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Correlations between human alveolar macrophage particulate matter load, air pollution particulate matter levels, and systemic inflammation markers in Mexico City.Scientific reports · 2025Article
- A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025Review
- A Review of Urban Planning Approaches to Reduce Air Pollution Exposures.Current environmental health reports · 2024Review
- Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study.The Science of the total environment · 2024Article
- Three-Dimensional Landscape Pattern Characteristics of Land Function Zones and Their Influence on PMInternational journal of environmental research and public health · 2022Article
- Persistently high incidence rates of childhood acute leukemias from 2010 to 2017 in Mexico City: A population study from the MIGICCL.Frontiers in public health · 2022Article
- Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PMInternational journal of environmental research and public health · 2021Article
- High Temporal Resolution Land Use Regression Models with POI Characteristics of the PMInternational journal of environmental research and public health · 2021Article
- Heavy metal pollution of street dust in the largest city of Mexico, sources and health risk assessment.Environmental monitoring and assessment · 2021Article
- Spatial distribution characteristics of PMSustainable cities and society · 2020Article
- Drivers of seasonal and annual air pollution exposure in a complex urban environment with multiple source contributions.Environmental monitoring and assessment · 2020Article
- Comparing Airborne Particulate Matter Intake Dose Assessment Models Using Low-Cost Portable Sensor Data.Sensors (Basel, Switzerland) · 2020Article
- An ensemble-based model of PMEnvironment international · 2019Article
- Spatial Analysis of Built Environment Risk for Respiratory Health and Its Implication for Urban Planning: A Case Study of Shanghai.International journal of environmental research and public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
The Mexico City Metropolitan Area (MCMA) is one of the largest and most populated urban environments in the world and experiences high air pollution levels. To develop models that estimate pollutant concentrations at fine spatiotemporal scales and provide improved air pollution exposure assessments for health studies in Mexico City. We developed finer spatiotemporal land use regression (LUR) models for PM
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.