ArticleJournal of the Air & Waste Management Association (1995)2017
A hybrid model for spatially and temporally resolved ozone exposures in the continental United States.
Article in Journal of the Air & Waste Management Association (1995), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 56 papers, 2 of them syntheses that pooled it.
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
56 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Assessment of long-term exposure to traffic-related air pollution: An exposure framework.Journal of exposure science & environmental epidemiology · 2025Pooled it
- Outdoor Air Pollution and Brain Structure and Function From Across Childhood to Young Adulthood: A Methodological Review of Brain MRI Studies.Frontiers in public health · 2019Pooled it
- Scientific Advances from Sharing URECA Data in Collaborative Analyses.The Journal of allergy and clinical immunology · 2026Review
- Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.Allergy · 2026Review
- Four-Decade (1980-2023) Surface Ozone Concentrations across the Contiguous United States: Fine-Resolution Estimates and Health Implications.Environmental science & technology · 2026Article
- Long-term exposure to ambient air pollution and epigenetic age acceleration in children.American journal of epidemiology · 2025Article
- A global land daily 10-km-resolution surface ozone dataset from 2013-2022.Scientific data · 2025Article
- Air pollution mixture exposure during pregnancy and postpartum psychological functioning: racial/ethnic- and fetal sex-specific associations.Journal of exposure science & environmental epidemiology · 2025Article
- A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025Review
- Acute exposure to pollen and airway inflammation in adolescents.Pediatric pulmonology · 2024Article
- Prenatal exposure to air pollution and BWGA Z-score: Modifying effects of placenta leukocyte telomere length and infant sex.Environmental research · 2024Article
- Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium.JAMA network open · 2024Article
- Applying a multistate survival model to explore the role of fine particles in promoting frailty in the Medicare cohort.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
- Prenatal ambient air pollutant mixture exposure and neurodevelopment in urban children in the Northeastern United States.Environmental research · 2023Article
- Air Pollution and Acute Kidney Injury in the U.S. Medicare Population: A Longitudinal Cohort Study.Environmental health perspectives · 2023Article
- Prenatal Ambient Air Pollutant Mixture Exposure and Early School-age Lung Function.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Methodological Challenges in Spatial and Contextual Exposome-Health Studies.Critical reviews in environmental science and technology · 2023Article
- Association Between Long-term Ambient PMAmerican journal of kidney diseases : the official journal of the National Kidney Foundation · 2022Article
- Using follicular fluid metabolomics to investigate the association between air pollution and oocyte quality.Environment international · 2022Article
- National Exposure Models for Source-Specific Primary Particulate Matter Concentrations Using Aerosol Mass Spectrometry Data.Environmental science & technology · 2022Article
Corrections and comments
- Erratum issuedCorrigendum.2017
Authors and funding
4 authors.
Funding
Abstract
Ground-level ozone is an important atmospheric oxidant, which exhibits considerable spatial and temporal variability in its concentration level. Existing modeling approaches for ground-level ozone include chemical transport models, land-use regression, Kriging, and data fusion of chemical transport models with monitoring data. Each of these methods has both strengths and weaknesses. Combining those complementary approaches could improve model performance. Meanwhile, satellite-based total column ozone, combined with ozone vertical profile, is another potential input. The authors propose a hybrid model that integrates the above variables to achieve spatially and temporally resolved exposure assessments for ground-level ozone. The authors used a neural network for its capacity to model interactions and nonlinearity. Convolutional layers, which use convolution kernels to aggregate nearby information, were added to the neural network to account for spatial and temporal autocorrelation. The authors trained the model with the Air Quality System (AQS) 8-hr daily maximum ozone in the continental United States from 2000 to 2012 and tested it with left out monitoring sites. Cross-validated R IMPLICATIONS: Ozone monitors do not provide full data coverage over the United States, which is an obstacle to assess the health effect of ozone when monitoring data are not available. This paper used a hybrid approach to combine satellite-based ozone measurements, chemical transport model simulations, land-use terms, and other auxiliary variables to obtain spatially and temporally resolved ground-level ozone estimation.
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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.