ArticleEnvironmental science & technology2018
A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources.
Article in Environmental science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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.
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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.
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Who cites it
26 citing papers in PubMed.
- Advancing resilience science through cross-domain integration: Proceedings of an NIH workshop.Neuroscience and biobehavioral reviews · 2026Review
- High-Throughput Suspect Screening Reveals Widespread Pesticide Exposure in Early Childhood.Environment & health (Washington, D.C.) · 2026Article
- USEtox modeling of children's exposures to Bisphenol A (BPA) and alternatives in toys.Journal of exposure science & environmental epidemiology · 2026Article
- A Bayesian approach to aggregated chemical exposure assessment.Journal of exposure science & environmental epidemiology · 2026Article
- Integrating Monitoring and Biomonitoring Data with Mechanistic Models to Better Estimate and Characterize Aggregate Human Exposures to Semivolatile Organic Chemicals.Environmental science & technology · 2025Article
- Xenobiotic Toxicants and Particulate Matter: Effects, Mechanisms, Impacts on Human Health, and Mitigation Strategies.Journal of xenobiotics · 2025Review
- ExpoPath: A method for identifying and annotating exposure pathways from chemical co-occurrence networks.The Science of the total environment · 2025Article
- Article
- Improving predictions of compound amenability for liquid chromatography-mass spectrometry to enhance non-targeted analysis.Analytical and bioanalytical chemistry · 2024Article
- Fugacity model incorporating computational fluid dynamics for analyzing the behavior of an insecticide sprayed indoors.Journal of pesticide science · 2023Article
- Cutting-edge computational chemical exposure research at the U.S. Environmental Protection Agency.Environment international · 2023Review
- Explore the Dosimetric Relationship between the Intake of Chemical Contaminants and Their Occurrence in Blood and Urine.Environmental science & technology · 2023Article
- HExpPredict:Environmental health perspectives · 2023Article
- Bayesian inference of chemical exposures from NHANES urine biomonitoring data.Journal of exposure science & environmental epidemiology · 2022Article
- Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment.Journal of exposure science & environmental epidemiology · 2022Review
- Exposure Prioritization (Toxics · 2022Article
- Advances in computational methods along the exposure to toxicological response paradigm.Toxicology and applied pharmacology · 2022Article
- Filling in the Blanks: A New Tool to Predict Chemical Pathways from Production to Exposure.Environmental health perspectives · 2022Article
- Development and Evaluation of a Holistic and Mechanistic Modeling Framework for Chemical Emissions, Fate, Exposure, and Risk.Environmental health perspectives · 2021Article
- Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis.Analytical and bioanalytical chemistry · 2021Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Exposure- and risk-based assessments for chemicals used indoors or applied to humans (i.e., in near-field environments) necessitate an aggregate exposure pathway framework that aligns chemical exposure information from use sources to internal dose and eventually to their potential for health effects. Such a source-to-effect continuum is advocated to balance the complexity of human exposure and the insufficiency of relevant data for thousands of existing and emerging chemicals. Here, we introduce the Risk Assessment, IDentification And Ranking-Indoor and Consumer Exposure (RAIDAR-ICE) model, which establishes an integrated framework to evaluate human exposure due to indoor use and direct application of chemicals to humans. As a model evaluation, RAIDAR-ICE faithfully reproduces exposure estimates inferred from biomonitoring data for 37 chemicals with direct and indirect near-field sources. RAIDAR-ICE generates different rankings for 131 chemicals based on different exposure- and risk-based assessment metrics, demonstrating its versatility for diverse chemical screening goals. When coupled with a far-field RAIDAR model, the near-field RAIDAR-ICE model enables assessment of aggregate human exposure. Overall, RAIDAR-ICE is a powerful tool for high-throughput screening and prioritization of human exposure to neutral organic chemicals used indoors.
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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.