• Media type: E-Article
  • Title: Population ageing and deaths attributable to ambient PM2·5 pollution: a global analysis of economic cost
  • Contributor: Yin, H. [Author]; Brauer, M. [Author]; Zhang, J. [Author]; Cai, W. [Author]; Navrud, S. [Author]; Burnett, R. [Author]; Howard, C. [Author]; Deng, Z. [Author]; Kammen, D. [Author]; Schellnhuber, H. [Author]; Chen, K. [Author]; Kan, H. [Author]; Chen, Z. [Author]; Chen, B. [Author]; Zhang, N. [Author]; Mi, Z. [Author]; Coffman, D. [Author]; Cohen, A. [Author]; Guan, D. [Author]; Zhang, Q. [Author]; Gong, P. [Author]; Liu, Z. [Author]
  • Published: Publication Database PIK (Potsdam Institute for Climate Impact Research), 2021-06
  • Published in: The Lancet Planetary Health
  • Language: Not determined
  • DOI: https://doi.org/10.1016/S2542-5196(21)00131-5
  • Origination:
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  • Description: Background The health impacts of ambient air pollution impose large costs on society. Although all people are exposed to air pollution, the older population (ie, those aged ≥60 years) tends to be disproportionally affected. As a result, there is growing concern about the health impacts of air pollution as many countries undergo rapid population ageing. We investigated the spatial and temporal variation in the economic cost of deaths attributable to ambient air pollution and its interaction with population ageing from 2000 to 2016 at global and regional levels. Methods In this global analysis, we developed an age-adjusted measure of the value of a statistical life-year (VSLY) to estimate the economic cost of deaths attributable to ambient PM2·5 pollution using Global Burden of Diseases, Injuries, and Risk Factors Study 2017 data and country-level socioeconomic information. First, we estimated the global age-specific and cause-specific mortality and years of life lost (YLLs) attributable to PM2·5 pollution using the global exposure mortality model and global estimates of exposure at 0·1° × 0·1° (about 11 km × 11 km at the equator) resolution. Second, for each year between 2000 and 2016, we translated the YLLs within each age group into a health-related cost using a country-specific, age-adjusted measure of VSLY. Third, we decomposed the major driving factors that contributed to the temporal change in health costs related to PM2·5. Finally, we did a sensitivity test to analyse the variability of the estimated health costs to four alternative valuation measures. We identified the uncertainty intervals (UIs) from 1000 draws of the parameters and concentration–response functions by age, cause, country, and year. All economic values are reported in 2011 purchasing power parity-adjusted US dollars. All simulations were done with R, version 3.6.0. Findings Globally, in 2016, PM2·5 was estimated to have caused 8·42 million (95% UI 6·50–10·52) attributable deaths, which was associated with 163·68 million (116·03–219·44) ...
  • Access State: Open Access
  • Rights information: Attribution - Non Commercial - No Derivs (CC BY-NC-ND)