ArticleAtmospheric environment (Oxford, England : 1994)2023
Generating High Spatial Resolution Exposure Estimates from Sparse Regulatory Monitoring Data.
Article in Atmospheric environment (Oxford, England : 1994), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- PMAir quality, atmosphere, & health · 2025Article
- Prenatal air pollution exposure and placental vasculature development among participants of the UPSIDE cohort study.Environmental research · 2025Article
- Gestational exposure to PMEnvironmental epidemiology (Philadelphia, Pa.) · 2025Article
- Benzo[Environmental science. Processes & impacts · 2025Article
- Short term air pollution exposure during pregnancy and associations with maternal immune markers.Environmental research · 2024Article
- Associations of Gestational Exposure to Air Pollution and Polycyclic Aromatic Hydrocarbons with Placental Inflammation.Environment & health (Washington, D.C.) · 2024Article
- Systemic oxidative stress levels during the course of pregnancy: Associations with exposure to air pollutants.Environmental pollution (Barking, Essex : 1987) · 2024Article
- Exposure to Low-Level Air Pollution and Hyperglycemia Markers during Pregnancy: A Repeated Measure Analysis.Environmental science & technology · 2024Article
- Parsimonious Random-Forest-Based Land-Use Regression Model Using Particulate Matter Sensors in Berlin, Germany.Sensors (Basel, Switzerland) · 2024Article
- Calibration Methods for Low-Cost Particulate Matter Sensors Considering Seasonal Variability.Sensors (Basel, Switzerland) · 2024Article
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
Random Forest algorithms have extensively been used to estimate ambient air pollutant concentrations. However, the accuracy of model-predicted estimates can suffer from extrapolation problems associated with limited measurement data to train the machine learning algorithms. In this study, we developed and evaluated two approaches, incorporating low-cost sensor data, that enhanced the extrapolating ability of random-forest models in areas with sparse monitoring data. Rochester, NY is the area of a pregnancy-cohort study. Daily PM
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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.