
Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118964 - 118964
Published: April 17, 2024
Language: Английский
Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118964 - 118964
Published: April 17, 2024
Language: Английский
Journal of Autism and Developmental Disorders, Journal Year: 2025, Volume and Issue: unknown
Published: March 22, 2025
Language: Английский
Citations
0NEJM Evidence, Journal Year: 2024, Volume and Issue: 3(12)
Published: Nov. 26, 2024
Fine particulate matter (PM
Citations
2Environmental Modelling & Software, Journal Year: 2023, Volume and Issue: 172, P. 105881 - 105881
Published: Nov. 20, 2023
Exposure to fine particulate matter (PM2.5) is linked increased health risks and disproportionately affects minority low-income communities. Current research lacks assessment of exposure disparities PM2.5 components effective communication these disparities. We developed an interactive, web-based air pollution mapper, combining high-resolution predictions for 2010 across the contiguous United States with U.S. Census demographic data. The interface, hosted at https://disparitiesmapper.github.io/, allows users visualize relationship between variables, highlighting racial, socioeconomic, geographic in exposure. By mapping individual components, it provides insights into specific sources driving concentrations, aiding designing targeted reduction programs. This tool makes quality data more accessible informs policy outcomes.
Language: Английский
Citations
4medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: March 24, 2024
Abstract Fine particulate matter (PM 2.5 ) exposure is adversely linked to atherosclerotic cardiovascular disease (ASCVD). However, most studies focused on PM mass rather than its chemical composition. ’s individual components can have distinct, cumulative, and potentially synergistic health impacts. We investigated the associations of composition sources with ASCVD mortality, considering combined regional variations in US. used data from Centers for Medicare Medicaid Services, (65,838,403 person-years) 2000 2016. estimated using machine-learning models attributed five source categories. Poisson survival assess Higher mortality risk (RR [95% CI] per interquartile range increase) was associated oil combustion (1.050[1.049;1.051]), industrial (1.054[1.052;1.056]), coal/biomass burning (1.064[1.062;1.067]), traffic (1.044[1.042;1.046]). Comparing source-specific effects within each region, were more pronounced East Midwest, West Southwest. In conclusion, we found higher , differential across US regions. These persisted even after limiting our sample ZIP code-years <9 μg/m 3 - National Ambient Air Quality Standards (NAAQS). This highlights importance consideration local population characteristics patterns when assessing risks .
Language: Английский
Citations
0Environmental Research, Journal Year: 2024, Volume and Issue: 252, P. 118964 - 118964
Published: April 17, 2024
Language: Английский
Citations
0