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Anenberg_NS_2019_supplemental_data.csv (37.41 kB)

PM2.5 disease burdens in cities worldwide

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dataset
posted on 2019-08-01, 13:07 authored by Susan AnenbergSusan Anenberg
This dataset includes the results published in Anenberg, S.C., P. Achakulwisut, M. Brauer, D. Moran, J.S. Apte, and D. Henze (2019) Particulate matter, carbon dioxide, and premature mortality in 250 urban areas worldwide. Scientific Reports, in press.

variable definitions:
id=city id
city=name of urban area
cluster=cities within each urban area
lat=latitude
lon=longitude
iso3c=ISO 3 Code
country=country
gbd_region=Global Burden of Disease region
gbd_superregion=Global Burden of Disease super-region
pop.2016=population in 2016
popw.pm=population weighted annual average PM2.5 concentration (in ug/m3)
pmdeaths=PM2.5-attributable premature deaths
pct_ihd=percent of PM2.5-attributable premature deaths that are from ischemic heart disease
pct_stroke=percent of PM2.5-attributable premature deaths that are from stroke
pct_copd=percent of PM2.5-attributable premature deaths that are from chronic obstructive pulmonary disease
pct_lc=percent of PM2.5-attributable premature deaths that are from lung cancer
pct_lri=percent of PM2.5-attributable premature deaths that are from lower respiratory infections
pmdeaths_2.5prctl=lower end of the 95% confidence interval for PM2.5-attributable premature deaths
pmdeaths_97.5prctl=upper end of the 95% confidence interval for PM2.5-attributable premature deaths

Funding

The George Washington University and the NASA Health and Air Quality Applied Science Team (Award No. NNX16AQ26G)

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