Productivity-adjusted life years lost due to non-optimum temperatures in Brazil: A nationwide time-series study

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dc.contributor.authorWen, Bo Wen
dc.contributor.authorAdemi, Zanfina
dc.contributor.authorWu, Yao
dc.contributor.authorXu, Rongbin
dc.contributor.authorYu, Pei
dc.contributor.authorYe, Tingting
dc.contributor.authorCoêlho, Micheline de Sousa Zanotti Stagliorio
dc.contributor.authorSaldiva, Paulo Hilario Nascimento
dc.contributor.authorGuo, Yuming
dc.contributor.authorLi, Shanshan
dc.coverage.paisNão Informadopt_BR
dc.creatorWen, Bo Wen
dc.creatorAdemi, Zanfina
dc.creatorWu, Yao
dc.creatorXu, Rongbin
dc.creatorYu, Pei
dc.creatorYe, Tingting
dc.creatorCoêlho, Micheline de Sousa Zanotti Stagliorio
dc.creatorSaldiva, Paulo Hilario Nascimento
dc.creatorGuo, Yuming
dc.creatorLi, Shanshan
dc.date.accessioned2023-12-19T14:36:18Z
dc.date.available2023-12-19T14:36:18Z
dc.date.issued2023
dc.description.abstractNon-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.pt_BR
dc.description.notesProdução vinculada ao Centro de Estudos das Cidades – Laboratório Arq.Futuro.pt_BR
dc.format.mediumDigitalpt_BR
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2023.162368pt_BR
dc.identifier.issn1879-1026pt_BR
dc.identifier.issn0048-9697pt_BR
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/6245
dc.language.isoInglêspt_BR
dc.publisherElsevierpt_BR
dc.relation.isboundCentro de Estudos das Cidades – Laboratório Arq.Futuro
dc.relation.ispartofScience of The Total Environmentpt_BR
dc.rights.licenseO INSPER E ESTE REPOSITÓRIO NÃO DETÊM OS DIREITOS DE USO E REPRODUÇÃO DOS CONTEÚDOS AQUI REGISTRADOS. É RESPONSABILIDADE DO USUÁRIO VERIFICAR OS USOS PERMITIDOS NA FONTE ORIGINAL, RESPEITANDO-SE OS DIREITOS DE AUTOR OU EDITOR.pt_BR
dc.subject.keywordsNon-optimal temperaturept_BR
dc.subject.keywordsProductivitypt_BR
dc.subject.keywordsEconomic costpt_BR
dc.subject.keywordsMortalitypt_BR
dc.titleProductivity-adjusted life years lost due to non-optimum temperatures in Brazil: A nationwide time-series studypt_BR
dc.typejournal article
dspace.entity.typePublication
local.identifier.sourceUrihttps://www.sciencedirect.com/science/article/pii/S0048969723009841?via%3Dihub
local.subject.cnpqMultidisciplinarpt_BR
local.typeArtigo Científicopt_BR
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