Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment

2018 ◽  
Vol 52 (16) ◽  
pp. 9069-9078 ◽  
Author(s):  
Gavin Shaddick ◽  
Matthew L. Thomas ◽  
Heresh Amini ◽  
David Broday ◽  
Aaron Cohen ◽  
...  
2014 ◽  
Vol 2014 (1) ◽  
pp. 2764
Author(s):  
Cohen Aaron* ◽  
Brauer Michael ◽  
Greg Freedman ◽  
Richard Burnett ◽  
H Ross Anderson ◽  
...  

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1719
Author(s):  
Meghnath Dhimal ◽  
Francesco Chirico ◽  
Bihungum Bista ◽  
Sitasma Sharma ◽  
Binaya Chalise ◽  
...  

Air pollution consisting of ambient air pollution and household air pollution (HAP) threatens health globally. Air pollution aggravates the health of vulnerable people such as infants, children, women, and the elderly as well as people with chronic diseases such as cardiorespiratory illnesses, little social support, and poor access to medical services. This study is aimed to estimate the impact of air pollution on global burden of disease (GBD). We extracted data about mortality and disability adjusted life years (DALYs) attributable to air pollution from 1990 to 2019. The extracted data were then organized and edited into a usable format using STATA version 15. Furthermore, we also estimated the impacts for three categories based on their socio-demographic index (SDI) as calculated by GBD study. The impacts of air pollution on overall burden of disease by SDI, gender, type of pollution, and type of disease is estimated and their trends over the period of 1990 to 2019 are presented. The attributable burden of ambient air pollution is increasing over the years while attributable burden of HAP is declining over the years, globally. The findings of this study will be useful for evidence-based planning for prevention and control of air pollution and reduction of burden of disease from air pollution at global, regional, and national levels.


2015 ◽  
Vol 50 (1) ◽  
pp. 79-88 ◽  
Author(s):  
Michael Brauer ◽  
Greg Freedman ◽  
Joseph Frostad ◽  
Aaron van Donkelaar ◽  
Randall V. Martin ◽  
...  

Author(s):  
Soheil Sohrabi ◽  
Joe Zietsman ◽  
Haneen Khreis

With recent rapid urbanization, sustainable development is required to prevent health risks associated with adverse environmental exposures from the unsustainable development of cities. Ambient air pollution is the greatest environmental risk factor for human health and is responsible for considerable levels of mortality worldwide. Burden of disease assessment (BoD) of air pollution in and across cities, and how these estimates vary according to socioeconomic status and exposure to road traffic, can help city planners and health practitioners to mitigate adverse exposures and promote public health. In this study, we quantified the health impacts of air pollution exposure (PM2.5 and NO2) at the census tract level in Houston, Texas, employing a standard BoD assessment framework to estimate the premature deaths (adults 30 to 78 years old) attributable to PM2.5 and NO2. We found that 631 (95% CI: 366–809) premature deaths were attributable to PM2.5 in Houston, and 159 (95% CI: 0-609) were attributable to NO2, in 2010. Complying with the World Health Organization air quality guidelines (annual mean: 10 μg/m3 for PM2.5) and the US National Ambient Air Quality standard (annual mean: 12 μg/m3 for PM2.5) could save 82 (95% CI: 42–95) and 8 (95% CI: 6–10) lives in Houston, respectively. PM2.5 was responsible for 7.3% of all-cause premature deaths in Houston, in 2010, which is higher than the death rate associated with diabetes mellites, Alzheimer’s disease, or motor vehicle crashes in the US. Households with lower income had a higher risk of adverse exposure and attributable premature deaths. We also showed a positive relationship between health impacts attributable to air pollution and road traffic passing through census tracts, which was more prominent for NO2.


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