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
Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Level 2, 553 St Kilda Road, Melbourne, VIC 3004, Australia.
Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, 381 Royal Parade, Parkville, VIC, 3052, Australia.
Sci Total Environ. 2023 May 15;873:162368. doi: 10.1016/j.scitotenv.2023.162368. Epub 2023 Feb 23.
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.
全球范围内,非适宜温度与过早死亡相关。然而,在低收入和中等收入国家,相关证据有限,且非适宜温度造成的生产力损失尚未得到量化。我们旨在估算巴西非适宜温度对工作的影响及经济损失。我们收集了2000年至2019年巴西510个直属地区的每日死亡率数据。采用两阶段时间序列分析来评估非适宜温度与损失的生产力调整生命年(PALYs)之间的关联。在第一阶段,针对每个地点拟合温度与PALYs的关联,然后我们进行荟萃分析以获得全国估计值。计算了不同工作年龄人口亚组因环境温度导致的PALY损失归因分数(AF)及相应的经济成本。2000 - 2019年期间,巴西共有3,629,661个PALYs损失归因于非适宜温度,占总PALYs损失的2.90%(95%置信区间:1.82%,3.95%)。非适宜温度导致与PALYs损失相关的经济成本达1048.6亿美元(95%置信区间:659.5亿美元,1427.0亿美元),男性以及15 - 44岁人群的经济负担更为沉重。巴西南部地区极端寒冷温度风险较高,而中西部和东北部地区则存在极端炎热温度风险。总之,在巴西,非适宜温度与相当大的劳动力损失以及经济成本相关。应制定针对性政策和适应策略,以减轻气候变化中非适宜温度对劳动力供应的影响。