Assessment of PM2.5-related mortality burden and health economic loss in Shanghai
ZHOU Lu, NIU Yue, CHEN Ren-jie, KAN Hai-dong
Key Lab of Public Health Safety of the Ministry of Education, NHC Key Lab of Health Technology Assessment, School of Public Health, Fudan University, Shanghai 200032, China
Abstract:Based on the annual average concentrations of fine particulate matter (PM2.5) in 16 districts of Shanghai in 2021. the Global Exposure Mortality Model (GEMM) and the Value of Statistic Life (VSL) method were used in the analysis. This study aimed to assess the PM2.5-related mortality burden and the corresponding health economic losses based on current pollution levels and different PM2.5 pollution control scenarios in Shanghai. The results showed that although the annual average PM2.5 concentration in Shanghai in 2021 (27µg/m3) was lower than the national secondary annual PM2.5 standard (35µg/m3), the excess PM2.5-related deaths still amounted to 13,274 (95%CI: 10,110~21,483) relative to the counterfactual annual average PM2.5 concentration (2.4µg/m3), with an attributable fraction of 9.5% (95%CI: 7.3%~15.5%). The corresponding health economic loss was 66.52billion (95%CI: 50.67~107.66) yuan, accounting for 1.5% (95%CI: 1.2%~2.5%) of the gross domestic product (GDP) of Shanghai. Compared with the current estimates, if the annual average concentration of PM2.5 was reduced to the latest Air Quality Guideline level (5µg/m3) proposed by the World Health Organization (WHO), the number of PM2.5-related deaths would be decreased by 9,873, and the corresponding health economic loss would be decreased by 74.4% in Shanghai. Therefore, it is suggested that more stringent local ambient air quality standards should be established to protect public health from air pollution in Shanghai.
周璐, 牛越, 陈仁杰, 阚海东. 上海市PM2.5污染相关的死亡负担和经济健康损失评估[J]. 中国环境科学, 2023, 43(7): 3741-3747.
ZHOU Lu, NIU Yue, CHEN Ren-jie, KAN Hai-dong. Assessment of PM2.5-related mortality burden and health economic loss in Shanghai. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(7): 3741-3747.
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