five

PM2.5 disease burdens in cities worldwide

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figshare.com2019-08-01 更新2025-03-24 收录
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https://figshare.com/articles/dataset/PM2_5_disease_burdens_in_cities_worldwide/7871747/1
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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 idcity=name of urban areacluster=cities within each urban arealat=latitudelon=longitudeiso3c=ISO 3 Codecountry=country gbd_region=Global Burden of Disease regiongbd_superregion=Global Burden of Disease super-regionpop.2016=population in 2016popw.pm=population weighted annual average PM2.5 concentration (in ug/m3)pmdeaths=PM2.5-attributable premature deathspct_ihd=percent of PM2.5-attributable premature deaths that are from ischemic heart diseasepct_stroke=percent of PM2.5-attributable premature deaths that are from strokepct_copd=percent of PM2.5-attributable premature deaths that are from chronic obstructive pulmonary diseasepct_lc=percent of PM2.5-attributable premature deaths that are from lung cancerpct_lri=percent of PM2.5-attributable premature deaths that are from lower respiratory infectionspmdeaths_2.5prctl=lower end of the 95% confidence interval for PM2.5-attributable premature deathspmdeaths_97.5prctl=upper end of the 95% confidence interval for PM2.5-attributable premature deaths

本数据集收录了Anenberg, S.C. 等(2019年)在《Scientific Reports》上发表的《全球250个城市的颗粒物、二氧化碳与过早死亡率》一文的研究结果。其中变量定义如下:id=城市标识符,idcity=城市名称,cluster=每个城市区域内的城市集合,lat=纬度,lon=经度,iso3c=ISO 3代码,country=国家,gbd_region=全球疾病负担区域,gbd_superregion=全球疾病负担超区域,pop.2016=2016年人口,popw.pm=加权年度平均PM2.5浓度(单位:微克/立方米),pmdeaths=PM2.5相关过早死亡率,pct_ihd=PM2.5相关过早死亡中由缺血性心脏病引起的百分比,pct_stroke=PM2.5相关过早死亡中由中风引起的百分比,pct_copd=PM2.5相关过早死亡中由慢性阻塞性肺疾病引起的百分比,pct_lc=PM2.5相关过早死亡中由肺癌引起的百分比,pct_lri=PM2.5相关过早死亡中由下呼吸道感染引起的百分比,spmdeaths_2.5prctl=PM2.5相关过早死亡95%置信区间的下限,spmdeaths_97.5prctl=PM2.5相关过早死亡95%置信区间的上限。
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