Impact of heatwaves on all-cause mortality in India: A comprehensive multi-city study

被引:6
|
作者
de Bont, Jeroen [1 ]
Nori-Sarma, Amruta [2 ]
Stafoggia, Massimo [1 ,3 ]
Banerjee, Tirthankar [4 ]
Ingole, Vijendra [5 ]
Jaganathan, Suganthi [1 ,6 ,7 ]
Mandal, Siddhartha [6 ,7 ]
Rajiva, Ajit [6 ,7 ]
Krishna, Bhargav [8 ]
Kloog, Itai [9 ,10 ]
Lane, Kevin [2 ]
Mall, Rajesh K. [11 ]
Tiwari, Abhiyant [12 ]
Wei, Yaguang [13 ]
Wellenius, Gregory A. [2 ]
Prabhakaran, Dorairaj [6 ,7 ]
Schwartz, Joel [13 ]
Prabhakaran, Poornima [6 ,7 ]
Ljungman, Petter [1 ,14 ]
机构
[1] Karolinska Inst, Inst Environm Med, Stockholm, Sweden
[2] Boston Univ, Sch Publ Hlth, Ctr Climate & Hlth, Boston, MA 02215 USA
[3] ASL Roma 1, Dept Epidemiol, Lazio Reg Hlth Serv, Rome, Italy
[4] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi, India
[5] Off Natl Stat, Newport, Wales
[6] Ctr Chron Dis Control, New Delhi, India
[7] Ashoka Univ, Sonipat, India
[8] Ctr Policy Res, New Delhi, India
[9] Ben Gurion Univ Negev, Beer Sheva, Israel
[10] Icahn Sch Med Mt Sinai, Dept Environm Med & Publ Hlth, New York, NY USA
[11] Inst Environm & Sustainable Futures Collaborat, DST Mahamana Ctr Excellence Climate Change Res, New Delhi, India
[12] NRDC, New Delhi, India
[13] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA
[14] Danderyd Hosp, Dept Cardiol, Stockholm, Sweden
基金
瑞典研究理事会;
关键词
India; Heatwaves; Mortality; Attributable deaths; Climate change; HEAT-WAVE; TEMPERATURE;
D O I
10.1016/j.envint.2024.108461
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Heatwaves are expected to increase with climate change, posing a significant threat to population health. In India, with the world's largest population, heatwaves occur annually but have not been comprehensively studied. Accordingly, we evaluated the association between heatwaves and all-cause mortality and quantifying the attributable mortality fraction in India. Methods: We obtained all-cause mortality counts for ten cities in India (2008-2019) and estimated daily mean temperatures from satellite data. Our main extreme heatwave was defined as two-consecutive days with an intensity above the 97th annual percentile. We estimated city-specific heatwave associations through generalised additive Poisson regression models, and meta-analysed the associations. We reported effects as the percentage change in daily mortality, with 95% confidence intervals (CI), comparing heatwave vs non-heatwave days. We further evaluated heatwaves using different percentiles (95th, 97th, 99th) for one, two, three and five-consecutive days. We also evaluated the influence of heatwave duration, intensity and timing in the summer season on heatwave mortality, and estimated the number of heatwave-related deaths. Findings: Among similar to 3.6 million deaths, we observed that temperatures above 97th percentile for 2-consecutive days was associated with a 14.7 % (95 %CI, 10.3; 19.3) increase in daily mortality. Alternative heatwave definitions with higher percentiles and longer duration resulted in stronger relative risks. Furthermore, we observed stronger associations between heatwaves and mortality with higher heatwave intensity. We estimated that around 1116 deaths annually (95 %CI, 861; 1361) were attributed to heatwaves. Shorter and less intense definitions of heatwaves resulted in a higher estimated burden of heatwave-related deaths. Conclusions: We found strong evidence of heatwave impacts on daily mortality. Longer and more intense heatwaves were linked to an increased mortality risk, however, resulted in a lower burden of heatwave-related deaths. Both definitions and the burden associated with each heatwave definition should be incorporated into planning and decision-making processes for policymakers.
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页数:10
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