ArticleAtmospheric environment (Oxford, England : 1994)2022
Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species.
Article in Atmospheric environment (Oxford, England : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Maternal ambient air pollution exposure and risk of stillbirth in Georgia, USA.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Community-level influenza activity modifies the association between ambient air pollution and acute respiratory emergency visits in six U.S. Cities.Scientific reports · 2026Article
- Short-term associations between ambient air pollution and emergency department visits for Parkinson disease, multiple sclerosis, migraine, and seizure in California, 2005-2018.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Maternal ambient air pollution exposure and risk of stillbirth in Georgia, USA.medRxiv : the preprint server for health sciences · 2026Article
- County-Level Influenza-Attributable Emergency Department Visits and Their Spatial Correlates in the United States: Cross-Sectional Observational Study.JMIR public health and surveillance · 2025Observational
- The influence of ambient air pollution during folliculogenesis, endometrial development, and spermatogenesis on fertility: A study among patients using vitrified donor oocyte in vitro fertilization.Environmental research · 2025Article
- Modeling Joint Health Effects of Environmental Exposure Mixtures With Bayesian Additive Regression Trees.Statistics in medicine · 2025Article
- Ambient temperature in relation to ovarian reserve and early outcomes following ovarian stimulation and in vitro fertilization.Environmental research · 2025Article
- Air pollution exposure in vitrified oocyte donors and male recipient partners in relation to fertilization and embryo quality.Environment international · 2024Article
- Ambient traffic related air pollution in relation to ovarian reserve and oocyte quality in young, healthy oocyte donors.Environment international · 2024Article
- Acute Effects of Ambient Air Pollution on Asthma Emergency Department Visits in Ten U.S. States.Environmental health perspectives · 2023Article
- Influencing factors and trend prediction of PMEnvironment, development and sustainability · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Accurate spatiotemporal air pollution fields are essential for health impact and epidemiologic studies. There are an increasing number of studies that have combined observational data with spatiotemporally complete air pollution simulations. Land-use, speciated gaseous and particulate pollutant concentrations and chemical transport modeling are fused using a random forest approach to construct daily air quality fields for 12 pollutants (CO, NOx, NO
Indexed as
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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.