MICHELINE DE SOUSA ZANOTTI STAGLIORIO COELHO
Projetos de Pesquisa
Unidades Organizacionais
LIM/05 - Laboratório de Poluição Atmosférica Experimental, Hospital das Clínicas, Faculdade de Medicina
35 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 35
- Wildfire-related PM2.5 and health economic loss of mortality in Brazil(2023) WU, Yao; LI, Shanshan; XU, Rongbin; CHEN, Gongbo; YUE, Xu; YU, Pei; YE, Tingting; WEN, Bo; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; GUO, YumingBackground: Wildfire imposes a high mortality burden on Brazil. However, there is a limited assessment of the health economic losses attributable to wildfire-related fine particulate matter (PM2.5). Methods: We collected daily time-series data on all-cause, cardiovascular, and respiratory mortality from 510 immediate regions in Brazil during 2000-2016. The chemical transport model GEOS-Chem driven with Global Fire Emissions Database (GFED), in combination with ground monitored data and machine learning was used to estimate wildfire-related PM2.5 data at a resolution of 0.25 degrees x 0.25 degrees. A time-series design was applied in each immediate region to assess the association between economic losses due to mortality and wildfire-related PM2.5 and the estimates were pooled at the national level using a random-effect meta-analysis. We used a metaregression model to explore the modification effect of GDP and its sectors (agriculture, industry, and service) on economic losses.Results: During 2000-2016, a total of US$81.08 billion economic losses (US$5.07 billion per year) due to mortality were attributable to wildfire-related PM2.5 in Brazil, accounting for 0.68% of economic losses and equivalent to approximately 0.14% of Brazil's GDP. The attributable fraction (AF) of economic losses due to wildfire-related PM2.5 was positively associated with the proportion of GDP from agriculture, while negatively associated with the proportion of GDP from service.Conclusion: Substantial economic losses due to mortality were associated with wildfires, which could be influenced by the agriculture and services share of GDP per capita. Our estimates of the economic losses of mortality could be used to determine optimal levels of investment and resources to mitigate the adverse health impacts of wildfires.
- A multi-country analysis on potential adaptive mechanisms to cold and heat in a changing climate(2018) VICEDO-CABRERA, Ana M.; SERA, Francesco; GUO, Yuming; CHUNG, Yeonseung; ARBUTHNOTT, Katherine; TONG, Shilu; TOBIAS, Aurelio; LAVIGNE, Eric; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; GOODMAN, Patrick G.; ZEKA, Ariana; HASHIZUME, Masahiro; HONDA, Yasushi; KIM, Ho; RAGETTLI, Martina S.; ROEOESLI, Martin; ZANOBETTI, Antonella; SCHWARTZ, Joel; ARMSTRONG, Ben; GASPARRINI, AntonioBackground: Temporal variation of temperature-health associations depends on the combination of two pathways: pure adaptation to increasingly warmer temperatures due to climate change, and other attenuation mechanisms due to non-climate factors such as infrastructural changes and improved health care. Disentangling these pathways is critical for assessing climate change impacts and for planning public health and climate policies. We present evidence on this topic by assessing temporal trends in cold-and heat-attributable mortality risks in a multi-country investigation. Methods: Trends in country-specific attributable mortality fractions (AFs) for cold and heat (defined as below/above minimum mortality temperature, respectively) in 305 locations within 10 countries (1985-2012) were estimated using a two-stage time-series design with time-varying distributed lag non-linear models. To separate the contribution of pure adaptation to increasing temperatures and active changes in susceptibility (non-climate driven mechanisms) to heat and cold, we compared observed yearly-AFs with those predicted in two counterfactual scenarios: trends driven by either (1) changes in exposure-response function (assuming a constant temperature distribution), (2) or changes in temperature distribution (assuming constant exposure-response relationships). This comparison provides insights about the potential mechanisms and pace of adaptation in each population. Results: Heat-related AFs decreased in all countries (ranging from 0.45-1.66% to 0.15-0.93%, in the first and last 5-year periods, respectively) except in Australia, Ireland and UK. Different patterns were found for cold where AFs ranged from 5.57-15.43% to 2.16-8.91%), showing either decreasing (Brazil, Japan, Spain, Australia and Ireland), increasing (USA), or stable trends (Canada, South Korea and UK). Heat-AF trends were mostly driven by changes in exposure-response associations due to modified susceptibility to temperature, whereas no clear patterns were observed for cold. Conclusions: Our findings suggest a decrease in heat-mortality impacts over the past decades, well beyond those expected from a pure adaptation to changes in temperature due to the observed warming. This indicates that there is scope for the development of public health strategies to mitigate heat-related climate change impacts. In contrast, no clear conclusions were found for cold. Further investigations should focus on identification of factors defining these changes in susceptibility.
- Geographical Variations of the Minimum Mortality Temperature at a Global Scale: A Multicountry Study(2021) TOBIAS, Aurelio; HASHIZUME, Masahiro; HONDA, Yasushi; SERA, Francesco; NG, Chris Fook Sheng; KIM, Yoonhee; ROYE, Dominic; CHUNG, Yeonseung; Tran Ngoc Dang; KIM, Ho; LEE, Whanhee; INIGUEZ, Carmen; VICEDO-CABRERA, Ana; ABRUTZKY, Rosana; GUO, Yuming; TONG, Shilu; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; LAVIGNE, Eric; CORREA, Patricia Matus; ORTEGA, Nicolas Valdes; KAN, Haidong; OSORIO, Samuel; KYSELY, Jan; URBAN, Ales; ORRU, Hans; INDERMITTE, Ene; JAAKKOLA, Jouni J. K.; I, Niilo R. Ryti; PASCAL, Mathilde; HUBER, Veronika; SCHNEIDER, Alexandra; KATSOUYANNI, Klea; ANALITIS, Antonis; ENTEZARI, Alireza; MAYVANEH, Fatemeh; GOODMAN, Patrick; ZEKA, Ariana; MICHELOZZI, Paola; DE'DONATO, Francesca; ALAHMAD, Barrak; DIAZ, Magali Hurtado; VALENCIA, Cesar De la Cruz; OVERCENCO, Ala; HOUTHUIJS, Danny; AMELING, Caroline; RAO, Shilpa; RUSCIO, Francesco Di; CARRASCO, Gabriel; SEPOSO, Xerxes; NUNES, Baltazar; MADUREIRA, Joana; HOLOBACA, Iulian-Horia; SCOVRONICK, Noah; ACQUAOTTA, Fiorella; FORSBERG, Bertil; ASTROM, Christofer; RAGETTLI, Martina S.; GUO, Yue-Liang Leon; CHEN, Bing-Yu; LI, Shanshan; COLISTRO, Valentina; ZANOBETTI, Antonella; SCHWARTZ, Joel; Do Van Dung; ARMSTRONG, Ben; GASPARRINI, AntonioBackground: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 degrees C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 degrees C) to continental (19.3 degrees C), temperate (21.7 degrees C), arid (24.5 degrees C), and tropical (26.5 degrees C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 degrees C for a 1 degrees C rise in a community's annual mean temperature, and by 1 degrees C for a 1 degrees C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 degrees C rise in a community's annual mean temperature and by 1.3 for a 1 degrees C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
- Risk and burden of hospital admissions associated with wildfire-related PM2.5 in Brazil, 2000-15: a nationwide time-series study(2021) YE, Tingting; GUO, Yuming; CHEN, Gongbo; YUE, Xu; XU, Rongbin; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; ZHAO, Qi; LI, ShanshanBackground In the context of climate change and deforestation, Brazil is facing more frequent and unprecedented wildfires. Wildfire-related PM2.5 is associated with multiple adverse health outcomes; however, the magnitude of these associations in the Brazilian context is unclear. We aimed to estimate the association between daily exposure to wildfire-related PM2.5 and cause-specific hospital admission and attributable health burden in the Brazilian population using a nationwide dataset from 2000 to 2015. Methods In this nationwide time-series analysis, data for daily all-cause, cardiovascular, and respiratory hospital admissions were collected through the Brazilian Unified Health System from 1814 municipalities in Brazil between Jan 1, 2000, and Dec 31, 2015. Daily concentrations of wildfire-related PM2.5 were estimated using the 3D chemical transport model GEOS-Chem at a 2.0 degrees latitude by 2.5 degrees longitude resolution. A time-series analysis was fitted using quasi-Poisson regression to quantify municipality-specific effect estimates, which were then pooled at the regional and national levels using random-effects meta-analyses. Analyses were stratified by sex and ten age groups. The attributable fraction and attributable cases of hospital admissions due to wildfire-related PM2.5 were also calculated. Findings At the national level, a 10 mu g/m(3) increase in wildfire-related PM2.5 was associated with a 1.65% (95% CI 1.51-1.80) increase in all-cause hospital admissions, a 5.09% (4.73-5.44) increase in respiratory hospital admissions, and a 1.10% (0.78-1.42) increase in cardiovascular hospital admissions, over 0-1 days after the exposure. The effect estimates for all-cause hospital admission did not vary by sex, but were particularly high in children aged 4 years or younger (4.88% [95% CI 4.47-5.28]), children aged 5-9 years (2.33% [1.77-2.90]), and people aged 80 years and older (3.70% [3.20-4.20]) compared with other age groups. We estimated that 0.53% (95% CI 0.48-0.58) of allcause hospital admissions were attributable to wildfire-related PM2.5, corresponding to 35 cases (95% CI 32-38) per 100 000 residents annually. The attributable rate was greatest for municipalities in the north, south, and central-west regions, and lowest in the northeast region. Results were consistent for all-cause and respiratory diseases across regions, but remained inconsistent for cardiovascular diseases. Interpretation Short-term exposure to wildfire-related PM2.5 was associated with increased risks of all-cause, respiratory, and cardiovascular hospital admissions, particularly among children (0-9 years) and older people (>= 80 years). Greater attention should be paid to reducing exposure to wildfire smoke, particularly for the most susceptible populations.
- Associations between long-term exposure to PM2.5 and site-specific cancer mortality: A nationwide study in Brazil between 2010 and 2018(2022) YU, Pei; XU, Rongbin; LI, Shanshan; COELHO, Micheline S. Z. S. R.; SALDIVA, Paulo H. N. J.; SIM, Malcolm R.; ABRAMSON, Michael J.; GUO, YumingLong-term exposure to PM2.5 has been linked to lung cancer incidence and mortality, but limited evidence existed for other cancers. This study aimed to assess the association between PM2.5 on cancer specific mortality. An ecological study based on the cancer mortality data collected from 5,565 Brazilian cities during 2010-2018 using a difference-in-differences approach with quasi-Poisson regression, was applied to examine PM2.5-cancer mortality associations. Globally gridded annual average surface PM2.5 concentration was extracted and linked with the residential municipality of participants in this study. Sex, age stratified and exposure-response estimations were also conducted. Totalling 1,768,668 adult cancer deaths records of about 208 million population living across 5,565 municipalities were included in this study. The average PM2.5 concentration was 7.63 mu g/m(3) (standard deviation 3.32) with range from 2.95 mu g/m(3) to 28.5 mu g/m(3). With each 10 mu g/m(3) increase in three-year average (current year and previous two years) concentrations of PM2.5, the relative risks (RR) of cancer mortality were 1.16 (95% confidence interval [CI]: 1.11-1.20) for all-site cancers. The PM2.5 exposure was significantly associated with several cancer-specific mortalities including oral, nasopharynx, oesophagus, and stomach, colon rectum, liver, gallbladder, larynx, lung, bone, skin, female breast, cervix, prostate, brain and leukaemia. No safe level of PM2.5 exposure was observed in the exposure-response curve for all types of cancer. In conclusion, with nationwide cancer death records in Brazil, we found that long-term exposure to ambient PM2.5 increased risks of mortality for many cancer types. Even low level PM2.5 concentrations had significant impacts on cancer mortality.
- Associations Between Extreme Temperatures and Cardiovascular Cause-Specific Mortality: Results From 27 Countries(2023) ALAHMAD, Barrak; KHRAISHAH, Haitham; ROYE, Dominic; VICEDO-CABRERA, Ana Maria; GUO, Yuming; PAPATHEODOROU, Stefania I.; ACHILLEOS, Souzana; ACQUAOTTA, Fiorella; ARMSTRONG, Ben; BELL, Michelle L.; PAN, Shih-Chun; COELHO, Micheline de Sousa Zanotti Stagliorio; COLISTRO, Valentina; DANG, Tran Ngoc; DUNG, Do Van; DONATO, Francesca K. De'; ENTEZARI, Alireza; GUO, Yue-Liang Leon; HASHIZUME, Masahiro; HONDA, Yasushi; INDERMITTE, Ene; INIGUEZ, Carmen; JAAKKOLA, Jouni J. K.; KIM, Ho; LAVIGNE, Eric; LEE, Whanhee; LI, Shanshan; MADUREIRA, Joana; MAYVANEH, Fatemeh; ORRU, Hans; OVERCENCO, Ala; RAGETTLI, Martina S.; RYTI, Niilo R. I.; SALDIVA, Paulo Hilario Nascimento; SCOVRONICK, Noah; SEPOSO, Xerxes; SERA, Francesco; SILVA, Susana Pereira; STAFOGGIA, Massimo; TOBIAS, Aurelio; GARSHICK, Eric; BERNSTEIN, Aaron S.; ZANOBETTI, Antonella; SCHWARTZ, Joel; GASPARRINI, Antonio; KOUTRAKIS, PetrosBackground:Cardiovascular disease is the leading cause of death worldwide. Existing studies on the association between temperatures and cardiovascular deaths have been limited in geographic zones and have generally considered associations with total cardiovascular deaths rather than cause-specific cardiovascular deaths. Methods:We used unified data collection protocols within the Multi-Country Multi-City Collaborative Network to assemble a database of daily counts of specific cardiovascular causes of death from 567 cities in 27 countries across 5 continents in overlapping periods ranging from 1979 to 2019. City-specific daily ambient temperatures were obtained from weather stations and climate reanalysis models. To investigate cardiovascular mortality associations with extreme hot and cold temperatures, we fit case-crossover models in each city and then used a mixed-effects meta-analytic framework to pool individual city estimates. Extreme temperature percentiles were compared with the minimum mortality temperature in each location. Excess deaths were calculated for a range of extreme temperature days. Results:The analyses included deaths from any cardiovascular cause (32 154 935), ischemic heart disease (11 745 880), stroke (9 351 312), heart failure (3 673 723), and arrhythmia (670 859). At extreme temperature percentiles, heat (99th percentile) and cold (1st percentile) were associated with higher risk of dying from any cardiovascular cause, ischemic heart disease, stroke, and heart failure as compared to the minimum mortality temperature, which is the temperature associated with least mortality. Across a range of extreme temperatures, hot days (above 97.5th percentile) and cold days (below 2.5th percentile) accounted for 2.2 (95% empirical CI [eCI], 2.1-2.3) and 9.1 (95% eCI, 8.9-9.2) excess deaths for every 1000 cardiovascular deaths, respectively. Heart failure was associated with the highest excess deaths proportion from extreme hot and cold days with 2.6 (95% eCI, 2.4-2.8) and 12.8 (95% eCI, 12.2-13.1) for every 1000 heart failure deaths, respectively. Conclusions:Across a large, multinational sample, exposure to extreme hot and cold temperatures was associated with a greater risk of mortality from multiple common cardiovascular conditions. The intersections between extreme temperatures and cardiovascular health need to be thoroughly characterized in the present day-and especially under a changing climate.
- Authors' reply for ""Considerations about causality in observational studies""(2022) WEN, Bo; XU, Rongbin; WU, Yao; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; GUO, Yuming; LI, Shanshan
- Temperature-related mortality impacts under and beyond Paris Agreement climate change scenarios(2018) VICEDO-CABRERA, Ana Maria; GUO, Yuming; SERA, Francesco; HUBER, Veronika; SCHLEUSSNER, Carl-Friedrich; MITCHELL, Dann; TONG, Shilu; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; LAVIGNE, Eric; CORREA, Patricia Matus; ORTEGA, Nicolas Valdes; KAN, Haidong; OSORIO, Samuel; KYSELY, Jan; ALES, Urban; JAAKKOLA, Jouni J. K.; RYTI, Niilo R. I.; PASCAL, Mathilde; GOODMAN, Patrick G.; ZEKA, Ariana; MICHELOZZI, Paola; SCORTICHINI, Matteo; HASHIZUME, Masahiro; HONDA, Yasushi; HURTADO-DIAZ, Magali; CRUZ, Julio; SEPOSO, Xerxes; KIM, Ho; TOBIAS, Aurelio; INIGUEZ, Carmen; FORSBERG, Bertil; ASTROM, Daniel Oudin; RAGETTLI, Martina S.; ROOSLI, Martin; GUO, Yue Leon; WU, Chang-fu; ZANOBETTI, Antonella; SCHWARTZ, Joel; BELL, Michelle L.; Tran Ngoc Dang; Dung Do Van; HEAVISIDE, Clare; VARDOULAKIS, Sotiris; HAJAT, Shakoor; HAINES, Andy; ARMSTRONG, Ben; EBI, Kristie L.; GASPARRINI, AntonioThe Paris Agreement binds all nations to undertake ambitious efforts to combat climate change, with the commitment to hold warming well below 2 degrees C in global mean temperature (GMT), relative to pre-industrial levels, and to pursue efforts to limit warming to 1.5 degrees C. The 1.5 degrees C limit constitutes an ambitious goal for which greater evidence on its benefits for health would help guide policy and potentially increase the motivation for action. Here we contribute to this gap with an assessment on the potential health benefits, in terms of reductions in temperature-related mortality, derived from the compliance to the agreed temperature targets, compared to more extreme warming scenarios. We performed a multi-region analysis in 451 locations in 23 countries with different climate zones, and evaluated changes in heat and cold-related mortality under scenarios consistent with the Paris Agreement targets (1.5 and 2 degrees C) and more extreme GMT increases (3 and 4 degrees C), and under the assumption of no changes in demographic distribution and vulnerability. Our results suggest that limiting warming below 2 degrees C could prevent large increases in temperature-related mortality in most regions worldwide. The comparison between 1.5 and 2 degrees C is more complex and characterized by higher uncertainty, with geographical differences that indicate potential benefits limited to areas located in warmer climates, where direct climate change impacts will be more discernible.
- Quantifying excess deaths related to heatwaves under climate change scenarios: A multicountry time series modelling study(2018) GUO, Yuming; GASPARRINI, Antonio; LI, Shanshan; SERA, Francesco; VICEDO-CABRERA, Ana Maria; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; LAVIGNE, Eric; TAWATSUPA, Benjawan; PUNNASIRI, Kornwipa; OVERCENCO, Ala; CORREA, Patricia Matus; ORTEGA, Nicolas Valdes; KAN, Haidong; OSORIO, Samuel; JAAKKOLA, Jouni J. K.; RYTI, Niilo R. I.; GOODMAN, Patrick G.; ZEKA, Ariana; MICHELOZZI, Paola; SCORTICHINI, Matteo; HASHIZUME, Masahiro; HONDA, Yasushi; SEPOSO, Xerxes; KIM, Ho; TOBIAS, Aurelio; INIGUEZ, Carmen; FORSBERG, Bertil; ASTROM, Daniel Oudin; GUO, Yue Leon; CHEN, Bing-Yu; ZANOBETTI, Antonella; SCHWARTZ, Joel; Tran Ngoc Dang; Dung Do Van; BELL, Michelle L.; ARMSTRONG, Ben; EBI, Kristie L.; TONG, ShiluBackground Heatwaves are a critical public health problem. There will be an increase in the frequency and severity of heatwaves under changing climate. However, evidence about the impacts of climate change on heatwave-related mortality at a global scale is limited. Methods and findings We collected historical daily time series of mean temperature and mortality for all causes or non-external causes, in periods ranging from January 1, 1984, to December 31, 2015, in 412 communities within 20 countries/regions. We estimated heatwave +/- mortality associations through a two-stage time series design. Current and future daily mean temperature series were projected under four scenarios of greenhouse gas emissions from 1971 +/- 2099, with five general circulation models. We projected excess mortality in relation to heatwaves in the future under each scenario of greenhouse gas emissions, with two assumptions for adaptation (no adaptation and hypothetical adaptation) and three scenarios of population change (high variant, median variant, and low variant). Results show that, if there is no adaptation, heatwave-related excess mortality is expected to increase the most in tropical and subtropical countries/regions (close to the equator), while European countries and the United States will have smaller percent increases in heatwave-related excess mortality. The higher the population variant and the greenhouse gas emissions, the higher the increase of heatwave-related excess mortality in the future. The changes in 2031 +/- 2080 compared with 1971 +/- 2020 range from approximately 2,000% in Colombia to 150% in Moldova under the highest emission scenario and high-variant population scenario, without any adaptation. If we considered hypothetical adaptation to future climate, under high-variant population scenario and all scenarios of greenhouse gas emissions, the heatwave-related excess mortality is expected to still increase across all the countries/regions except Moldova and Japan. However, the increase would be much smaller than the no adaptation scenario. The simple assumptions with respect to adaptation as follows: no adaptation and hypothetical adaptation results in some uncertainties of projections. Conclusions This study provides a comprehensive characterisation of future heatwave-related excess mortality across various regions and under alternative scenarios of greenhouse gas emissions, different assumptions of adaptation, and different scenarios of population change. The projections can help decision makers in planning adaptation and mitigation strategies for climate change.
- Productivity-adjusted life years lost due to non-optimum temperatures in Brazil: A nationwide time-series study(2023) WEN, Bo; ADEMI, Zanfina; WU, Yao; XU, Rongbin; YU, Pei; YE, Tingting; COELHO, Micheline de Sousa Zanotti Stagliorio; SALDIVA, Paulo Hilario Nascimento; GUO, Yuming; LI, ShanshanNon-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 col-lected 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.