全球智库信息集成服务系统(G2TT): Applying Integrated Exposure-Response Functions to PM2.5 Pollution in India.

G2TT

来源类型	Article
规范类型	其他
DOI	10.3390/ijerph16010060
	Applying Integrated Exposure-Response Functions to PM2.5 Pollution in India.
	Limaye V; Schöpp W; Amann M
发表日期	2018
出处	International Journal of Environmental Research and Public Health 16 (1): p. 60
出版年	2018
语种	英语
摘要	Fine particulate matter (PM2.5, diameter ≤2.5 μm) is implicated as the most health-damaging air pollutant. Large cohort studies of chronic exposure to PM2.5 and mortality risk are largely confined to areas with low to moderate ambient PM2.5 concentrations and posit log-linear exposure-response functions. However, levels of PM2.5 in developing countries such as India are typically much higher, causing unknown health effects. Integrated exposure-response functions for high PM2.5 exposures encompassing risk estimates from ambient air, secondhand smoke, and active smoking exposures have been posited. We apply these functions to estimate the future cause-specific mortality risks associated with population-weighted ambient PM2.5 exposures in India in 2030 using Greenhouse Gas-Air Pollution Interactions and Synergies (GAINS) model projections. The loss in statistical life expectancy (SLE) is calculated based on risk estimates and baseline mortality rates. Losses in SLE are aggregated and weighted using national age-adjusted, cause-specific mortality rates. 2030 PM2.5 pollution in India reaches an annual mean of 74 μg/m3, nearly eight times the corresponding World Health Organization air quality guideline. The national average loss in SLE is 32.5 months (95% Confidence Interval (CI): 29.7–35.2, regional range: 8.5–42.0), compared to an average of 53.7 months (95% CI: 46.3–61.1) using methods currently applied in GAINS. Results indicate wide regional variation in health impacts, and these methods may still underestimate the total health burden caused by PM2.5 exposures due to model assumptions on minimum age thresholds of pollution effects and a limited subset of health endpoints analyzed. Application of the revised exposure-response functions suggests that the most polluted areas in India will reap major health benefits only with substantial improvements in air quality.
主题	Air Quality & ; Greenhouse Gases (AIR)
关键词	air pollution exposure-response modeling health impact assessment India
URL	http://pure.iiasa.ac.at/id/eprint/15662/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/131551
推荐引用方式 GB/T 7714	Limaye V,Schöpp W,Amann M. Applying Integrated Exposure-Response Functions to PM2.5 Pollution in India.. 2018.