Navegando por Autor "Wu, Yao"

Agora exibindo 1 - 2 de 2
  • Imagem de Miniatura
    Artigo Científico
    Ambient PM2.5 and productivity-adjusted life years lost in Brazil: a national population-based study
    (2024) Wen, Bo; Ademi, Zanfina; Wu, Yao; Xu, Rongbin; Yu, Pei; Ye, Tingting; Coêlho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Guo, Yuming; Li, Shanshan
    Enormous health burden has been associated with air pollution and its effects continue to grow. However, the impact of air pollution on labour productivity at the population level is still unknown. This study assessed the association between premature death due to PM2.5 exposure and the loss of productivity-adjusted life years (PALYs), in Brazil. We applied a novel variant of the difference-in-difference (DID) approach to assess the association. Daily all-cause mortality data in Brazil were collected from 2000–2019. The PALYs lost increased by 5.11% (95% CI: 4.10–6.13%), for every 10 µg/m3 increase in the 2-day moving average of PM2.5. A total of 9,219,995 (95% CI: 7,491,634–10,921,141) PALYs lost and US$ 268.05 (95% CI: 217.82–317.50) billion economic costs were attributed to PM2.5 exposure, corresponding to 7.37% (95% CI: 5.99–8.73%) of the total PALYs lost due to premature death. This study also found that 5,005,306 PALYs could be avoided if the World Health Organization (WHO) air quality guideline (AQG) level was met. In conclusion, this study demonstrates that ambient PM2.5 exposure is associated with a considerable labour productivity burden relating to premature death in Brazil, while over half of the burden could be prevented if the WHO AQG was met. The findings highlight the need to reduce ambient PM2.5 levels and provide strong evidence for the development of strategies to mitigate the economic impacts of air pollution.
  • Imagem de Miniatura
    Artigo Científico
    Productivity-adjusted life years lost due to non-optimum temperatures in Brazil: A nationwide time-series study
    (2023) Wen, Bo Wen; Ademi, Zanfina; Wu, Yao; Xu, Rongbin; Yu, Pei; Ye, Tingting; Coêlho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Guo, Yuming; Li, Shanshan
    Non-optimal temperatures are associated with premature deaths globally. However, the evidence is limited in low- and middle-income countries, and the productivity losses due to non-optimal temperatures have not been quantified. We aimed to estimate the work-related impacts and economic losses attributable to non-optimal temperatures in Brazil. We collected daily mortality data from 510 immediate regions in Brazil during 2000 and 2019. A two-stage time-series analysis was applied to evaluate the association between non-optimum temperatures and the Productivity-Adjusted Life-Years (PALYs) lost. The temperature-PALYs association was fitted for each location in the first stage and then we applied meta-analyses to obtain the national estimations. The attributable fraction (AF) of PALY lost due to ambient temperatures and the corresponding economic costs were calculated for different subgroups of the working-age population. A total of 3,629,661 of PALYs lost were attributed to non-optimal temperatures during 2000–2019 in Brazil, corresponding to 2.90 % (95 % CI: 1.82 %, 3.95 %) of the total PALYs lost. Non-optimal temperatures have led to US$104.86 billion (95 % CI: 65.95, 142.70) of economic costs related to PALYs lost and the economic burden was more substantial in males and the population aged 15–44 years. Higher risks of extreme cold temperatures were observed in the South region in Brazil while extreme hot temperatures were observed in the Central West and Northeast regions. In conclusion, non-optimal temperatures are associated with considerable labour losses as well as economic costs in Brazil. Tailored policies and adaptation strategies should be proposed to mitigate the impacts of non-optimal temperatures on the labour supply in a changing climate.