ArticleGeoHealth2026
Modeling Patterns of Population Exposure With a Multiscale Framework Utilizing LOTOS-EUROS Chemical Transport Model, Mobility Surveys and Particulate Toxicity.
Article in GeoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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0 citing papers in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study proposes a high-resolution, multi-component framework to estimate human exposure to air pollution in tropical urban environments, addressing complex topography and limited historical mobility and exposure data. This framework is applied to the city of Medellín in the Aburrá Valley in Colombia. To assess population exposure to particulate matter, numerical simulations, mobility and toxicity data were integrated. The LOTOS-EUROS Chemical Transport Model, driven by the Weather Research and Forecasting (WRF) model, was used to simulate air quality at a spatial resolution of 1 km
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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.