Wednesday, January 24, 2024

 

Risk of death during heatwaves in Brazil linked to socioeconomic factors


48,075 deaths in 2000-2018 could be attributed to the increasingly frequent heatwaves in Brazil


Peer-Reviewed Publication

PLOS

Twenty-first-century demographic and social inequalities of heat-related deaths in Brazilian urban areas 

IMAGE: 

THE STUDY SUGGESTS THAT HEATWAVES ARE EXACERBATING SOCIOECONOMIC INEQUALITIES IN BRAZIL.

view more 

CREDIT: EVANDRO KLUGE, PEXELS, CC0 (HTTPS://CREATIVECOMMONS.ORG/PUBLICDOMAIN/ZERO/1.0/)




A new study suggests that heatwaves are exacerbating socioeconomic inequalities in Brazil, with people who are female, elderly, Black, Brown, or who have lower educational levels potentially facing greater risk of death during heatwaves. Djacinto Monteiro dos Santos of Universidade Federal do Rio de Janeiro, Brazil, and colleagues present these findings in the open-access journal PLOS ONE on January 24, 2024.

As climate change progresses, heatwaves are becoming hotter, longer, and more frequent in many regions worldwide, including in Brazil. Heatwaves can increase the risk of dying from a chronic condition, such as heart disease or pneumonia. Prior research has linked heatwaves in Brazil to higher risk of death. However, few studies have explored the role played by socioeconomic and demographic factors in heat-related deaths in Brazil.

To help clarify, Monteiro dos Santos and colleagues analyzed death rates during heatwaves between 2000 and 2018 in 14 major urban areas of Brazil, representing more than one third of the national population.

In line with prior research, they found that Brazil experienced three to 11 heatwaves per year in the 2010s, up from zero to three per year in the 1970s. Between 2000 and 2018, 48,075 deaths could be attributed to heatwaves, with the most frequent causes of death being circulatory diseases, respiratory diseases, and cancer.

Heatwave-related death rates varied between geographical regions within Brazil, which the researchers linked to known North-South inequalities pertaining to socioeconomic and health indicators, including life expectancy. Heatwave-related death rates were higher among people who were female, elderly, Black, Brown, or who had lower educational levels.

The researchers also found that a technique known as event-based surveillance analysis—which looks for emerging signals in social media rumors or other sources—would have been unsuccessful in providing early warning of high rates of heatwave-related deaths, suggesting that extreme heatwaves are neglected disasters in Brazil.

These findings could help inform efforts to reduce deaths during future heatwaves. Further research could address some of this study’s limitations by covering a longer time period, incorporating more socioeconomic indicators, and using data from more than one weather station for each urban area.

The authors add: “Heatwaves were responsible for more than 48,000 deaths in urban areas in Brazil. Women, black and brown people, the elderly and those with a lower level of education are the most affected, reinforcing how human-induced climate change has exacerbated the socioeconomic inequalities in the country.”

#####

In your coverage please use this URL to provide access to the freely available article in PLOS ONEhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295766

Citation: Monteiro dos Santos D, Libonati R, Garcia BN, Geirinhas JL, Salvi BB, Lima e Silva E, et al. (2024) Twenty-first-century demographic and social inequalities of heat-related deaths in Brazilian urban areas. PLoS ONE 19(1): e0295766. https://doi.org/10.1371/journal.pone.0295766

Author Countries: Brazil, Portugal

Funding: D.M.S. acknowledges the support of FIOCRUZ [grant VPPCB-003-FIO-19], FAPERJ [grant E-26/205.890/2022]. RL was supported by FAPERJ [grant E-26/200.329/2023 and E-26/210.078/2023] and CNPQ [grant 311487/2021-1]. A.R. and R.M.T. were supported by Fundação para a Ciência e a Tecnologia, I.P./ MCTES through national funds (PIDDAC)” –UIDB/50019/2020 and also by Project ROADMAP (JPIOCEANS/0001/2019). B.N.G. was supported by CNPQ [grant 161075/2021-5]. J.L.G. acknowledges the support of FCT (Fundação para a Ciência e Tecnologia) for the PhD Grant 2020.05198.BD. HG was supported by CNPQ [grant 317617/2021-4] and International Joint Laboratory “Sentinela” (Fiocruz, UnB, IRD) (grant IRD LMI-Sentinela). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

No comments: