Estimating Intra-Urban Inequities in PM_2.5-Attributable Health Impacts: A Case Study for Washington, DC

Area of Science:

• Environmental Health Sciences
• Epidemiology
• Remote Sensing Applications

Background:

• Air pollution exposure and its health effects are unevenly distributed within urban areas, leading to health disparities.
• Understanding intra-urban variations in pollution and disease is crucial for addressing environmental inequities.

Purpose of the Study:

• To assess the spatial heterogeneity of fine particulate matter (PM2.5)-attributable mortality and morbidity in Washington, DC.
• To investigate the distribution of PM2.5-related health burdens across different neighborhoods and population sub-groups.

Main Methods:

• Utilized satellite remote sensing for surface PM2.5 concentrations and granular disease data.
• Estimated PM2.5-attributable mortality and morbidity (e.g., all-cause mortality, asthma ED visits) using health impact functions.
• Incorporated age-resolved population estimates and neighborhood-scale disease counts for analysis.

Main Results:

• PM2.5 concentrations and associated health burdens in Washington, DC, decreased between 2000 and 2018.
• Significant inequities persist, with higher PM2.5-attributable disease burdens in areas with higher proportions of people of color, lower income, and lower education.
• Example: Annual deaths decreased from ~240 to 120, and asthma ED visits from 40 to 30.

Conclusions:

• Despite overall reductions, PM2.5-related health risks remain inequitably distributed within Washington, DC.
• Addressing these disparities requires high-resolution data on both pollution levels and disease rates.
• The findings underscore the need for targeted interventions to mitigate air pollution's health impacts on vulnerable populations.