ArticleInternational journal of environmental research and public health2022
Development and Evaluation of Spatio-Temporal Air Pollution Exposure Models and Their Combinations in the Greater London Area, UK.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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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Who cites it
7 citing papers in PubMed.
- The impact of short-term ambient air pollution on CPAP therapy outcomes in obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2026Article
- Exposure measurement error in air-pollution epidemiology and its determinants: results from the MELONS study.International journal of epidemiology · 2026Article
- Personalised estimation of exposure to ambient air pollution and application in a longitudinal cohort analysis of cognitive function in London-dwelling older adults.Journal of exposure science & environmental epidemiology · 2026Article
- Air Pollution Impact on Pregnancy and Early Childhood Development (APiPED) in India: Protocol for a Cohort Study.JMIR research protocols · 2025Article
- Investigating the Consequences of Measurement Error of Gradually More Sophisticated Long-Term Personal Exposure Models in Assessing Health Effects: The London Study (MELONS).Research report (Health Effects Institute) · 2025Article
- High resolution mapping of nitrogen dioxide and particulate matter in Great Britain (2003-2021) with multi-stage data reconstruction and ensemble machine learning methods.Atmospheric pollution research · 2024Article
- Exposure to ambient air pollution and cognitive function: an analysis of the English Longitudinal Study of Ageing cohort.Environmental health : a global access science source · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Land use regression (LUR) and dispersion/chemical transport models (D/CTMs) are frequently applied to predict exposure to air pollution concentrations at a fine scale for use in epidemiological studies. Moreover, the use of satellite aerosol optical depth data has been a key predictor especially for particulate matter pollution and when studying large populations. Within the STEAM project we present a hybrid spatio-temporal modeling framework by (a) incorporating predictions from dispersion modeling of nitrogen dioxide (NO
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Registered trials
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