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Neighborhood-scale health impacts from PM2.5
Susan Anenberg, PhD George Washington University NASA HAQAST Hi-Res Tiger Team Health Impact Assessment September 17, 2018
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HAQAST Hi-Res Tiger Team: PM2.5 health impacts
Resolving PM2.5 variation within cities can influence estimated health impacts Objective: PM2.5 health impacts at neighborhood scale Boston, Los Angeles, New York City, and Washington DC Existing satellite-derived PM2.5 concentrations at 0.01°x0.01° from van Donkelaar et al. (2016) for all cities (MODIS, MISR, SeaWIFS, CALIOP, GEOS-Chem, AERONET, ground measurements) New MAIAC-derived PM2.5 concentrations at 100m for NYC, scaled up to 250m Census-tract level baseline disease rates from CDC Block level population allocated to census tracts using PopGrid software Health impact functions in BenMAP-CE software Kheirbek et al., Env. Health, 2016 1km data from combining CMAQ with monitor values
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Disease rates vary within cities: Asthma prevalence (2014) at census tract level
Boston n=437 DC n=179 Similar data/maps available for other diseases LA n=3494 NYC n=2167
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Census-tract level health impacts attributable to PM2
Census-tract level health impacts attributable to PM2.5 (cases per 100,000)
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Census-tract level health impacts attributable to PM2.5
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Hot spot analysis: z-scores showing # of standard deviations from the mean
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NYC comparison using two different PM2.5 datasets
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PM2.5 concentrations
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NYC PM2.5 concentration comparison
van Donkelaar et al. (2016) HAQAST
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