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Estimating Intra‐Urban Inequities in PM2.5‐Attributable Health Impacts: A Case Study for Washington, DC
- Source :
- GeoHealth, Vol 5, Iss 11, Pp n/a-n/a (2021), GeoHealth
- Publication Year :
- 2021
- Publisher :
- American Geophysical Union (AGU), 2021.
-
Abstract
- Air pollution levels are uneven within cities, contributing to persistent health disparities between neighborhoods and population sub‐groups. Highly spatially resolved information on pollution levels and disease rates is necessary to characterize inequities in air pollution exposure and related health risks. We leverage recent advances in deriving surface pollution levels from satellite remote sensing and granular data in disease rates for one city, Washington, DC, to assess intra‐urban heterogeneity in fine particulate matter (PM2.5)‐ attributable mortality and morbidity. We estimate PM2.5‐attributable cases of all‐cause mortality, chronic obstructive pulmonary disease, ischemic heart disease, lung cancer, stroke, and asthma emergency department (ED) visits using epidemiologically derived health impact functions. Data inputs include satellite‐derived annual mean surface PM2.5 concentrations; age‐resolved population estimates; and statistical neighborhood‐, zip code‐ and ward‐scale disease counts. We find that PM2.5 concentrations and associated health burdens have decreased in DC between 2000 and 2018, from approximately 240 to 120 cause‐specific deaths and from 40 to 30 asthma ED visits per year (between 2014 and 2018). However, remaining PM2.5‐attributable health risks are unevenly and inequitably distributed across the District. Higher PM2.5‐attributable disease burdens were found in neighborhoods with larger proportions of people of color, lower household income, and lower educational attainment. Our study adds to the growing body of literature documenting the inequity in air pollution exposure levels and pollution health risks between population sub‐groups, and highlights the need for both high‐resolution disease rates and concentration estimates for understanding intra‐urban disparities in air pollution‐related health risks.<br />Key Points Fine particulate matter‐attributable health risks are unevenly and inequitably distributed across Washington, DCHigher PM2.5‐attributable disease burdens are found in neighborhoods with larger proportions of people of color in Washington, DCHigh‐resolution disease and concentration estimates are needed to understand intra‐urban disparities in air pollution‐related health risks
- Subjects :
- Space Geodetic Surveys
Epidemiology
Health, Toxicology and Mutagenesis
Pollution: Urban, Regional and Global
Air pollution
Atmospheric Composition and Structure
Disease
010501 environmental sciences
Biogeosciences
medicine.disease_cause
01 natural sciences
Environmental protection
Remote Sensing
Oceanography: Biological and Chemical
intra‐urban baseline disease rates
0302 clinical medicine
11. Sustainability
030212 general & internal medicine
intra‐urban health risks
Waste Management and Disposal
Water Science and Technology
media_common
Global and Planetary Change
education.field_of_study
Marine Pollution
Remote Sensing and Disasters
Geohealth
Pollution
Health equity
3. Good health
Oceanography: General
Pollution: Urban and Regional
fine particulate matter
Atmospheric Processes
Public Health
Health Impact
Research Article
media_common.quotation_subject
PM2.5‐attributable health impacts
Population
Volcanology
Megacities and Urban Environment
Management, Monitoring, Policy and Law
03 medical and health sciences
Paleoceanography
Environmental health
health inequities
TD169-171.8
medicine
Remote Sensing of Volcanoes
Geodesy and Gravity
Global Change
education
environmental justice
Urban Systems
0105 earth and related environmental sciences
Asthma
Aerosols
business.industry
Public Health, Environmental and Occupational Health
Aerosols and Particles
medicine.disease
Educational attainment
13. Climate action
Household income
Hydrology
business
Natural Hazards
Subjects
Details
- Language :
- English
- ISSN :
- 24711403
- Volume :
- 5
- Issue :
- 11
- Database :
- OpenAIRE
- Journal :
- GeoHealth
- Accession number :
- edsair.doi.dedup.....537bd128fa79808e6c08997356d136cd