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The resulting model uses weighted risk factors to spatially locate modeled exposure zones, thus highlighting critical areas for targeted intervention.
Furthermore, we modeled exposure as a continuous variable looking at the hazard ratio (HR) per 0.1 μT increase.
A common limitation has been the quality of exposure data used, and few studies have modeled exposure longitudinally throughout early life.
Fifty percent of exposure time was accounted for by work at the 139 larger terminals for which we had directly modeled exposure.
Furthermore, using home and school address histories, we modeled exposure at an individual level, rather than a community level, thereby reducing the potential for exposure misclassification.
We combined high-quality registry information on 81,110 births with individually modeled exposure data at residence for nitrogen oxides (NOx) and proximity to roads with differing traffic density.
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In the first scenario considered, we modeled exposures as independent and non-overlapping.
Alvarez-Romero, J. G. et al. A novel approach to model exposure of coastal-marine ecosystems to riverine flood plumes based on remote sensing techniques.
These overall removal rates are then used to model exposure across the broader landscape.
We visually inspected plots of the smoothed data to inform our decision on how to model exposure.
SAR calculations performed to model exposure at various gestational stages were found to be below the ICNIRP reference level.
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