ArticleEnvironment international2021
A spatiotemporal ensemble model to predict gross beta particulate radioactivity across the contiguous United States.
Article in Environment international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Updated Knowledge on Radon Exposure: Quantification Methods, Health Effects, and Molecular Mechanisms.Environment & health (Washington, D.C.) · 2026Review
- High-resolution national radon maps based on massive indoor measurements in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Ambient beta particle radioactivity and lung cancer survival: Results from the Boston Lung Cancer Study.Environmental research · 2025Article
- Predicting Monthly Community-Level Radon Concentrations with Spatial Random Forest in the Northeastern and Midwestern United States.Environmental science & technology · 2023Article
- Long-term association of air pollution and incidence of lung cancer among older Americans: A national study in the Medicare cohort.Environment international · 2023Article
- Associations of solar activity and related exposures with fetal growth.The Science of the total environment · 2023Article
- Prenatal Exposure to Ambient Particle Radioactivity and Fetal Growth in Eastern Massachusetts.Air quality, atmosphere, & health · 2023Article
- Synergistic Effects of Particle Radioactivity (Gross β Activity) and Particulate Matter ≤2.5 μm Aerodynamic Diameter on Cardiovascular Disease Mortality.Journal of the American Heart Association · 2022Article
- Exposure to Particle Radioactivity and Breast Cancer Risk in the Sister Study: A U.S.-Wide Prospective Cohort.Environmental health perspectives · 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
8 authors.
Funding
Abstract
Particulate radioactivity, a characteristic of particulate matter, is primarily determined by the abundance of radionuclides that are bound to airborne particulates. Exposure to high levels of particulate radioactivity has been associated with negative health outcomes. However, there are currently no spatially and temporally resolved particulate radioactivity data for exposure assessment purposes. We estimated the monthly distributions of gross beta particulate radioactivity across the contiguous United States from 2001 to 2017 with a spatial resolution of 32 km, via a multi-stage ensemble-based model. Particulate radioactivity was measured at 129 RadNet monitors across the contiguous U.S. In stage one, we built 264 base learning models using six methods, then selected nine base models that provide different predictions. In stage two, we used a non-negative geographically and temporally weighted regression method to aggregate the selected base learner predictions based on their local performance. The results of block cross-validation analysis suggested that the non-negative geographically and temporally weighted regression ensemble learning model outperformed all base learning model with the smallest rooted mean square error (0.094 mBq/m
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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.