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Global Excess Deaths Associated with Heatwaves in 2023 and the Contribution of Human-Induced Climate Change

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F25%3A00638803" target="_blank" >RIV/68378289:_____/25:00638803 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41330/25:106335

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S2666675825003133" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2666675825003133</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.xinn.2025.101110" target="_blank" >10.1016/j.xinn.2025.101110</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Global Excess Deaths Associated with Heatwaves in 2023 and the Contribution of Human-Induced Climate Change

  • Original language description

    An unprecedented heatwave swept the globe in 2023, marking it as one of the hottest years on record, raising concerns about its health impacts. However, a comprehensive assessment of the heatwave-related mortality and its attribution to human-induced climate change remains lacking. We aim to address this gap by combining high-resolution climate and mortality data from 2,013 locations across 67 countries with a three-stage modelling approach. First, we estimated historical heatwave-mortality associations using a quasi-Poisson regression model with distributed lag structures, considering lag effects, seasonality, and within-week variations. Second, we pooled the estimates in meta-regression, accounting for spatial heterogeneity and potential changes in heatwave-mortality associations over time. Third, we predicted grid-specific (0.5°×0.5°) association in 2023 and calculated the heatwave-related excess deaths, death ratio, and death rate per million people. Attribution analysis was conducted by comparing heatwave-related mortality under factual and counterfactual climate scenarios. We estimated 178,486 excess deaths (95% empirical Confidence Interval [eCI]: 159,892−204,147) related to the 2023 heatwave, accounting for 0.73% of global deaths, corresponding to 23 deaths per million people. The highest mortality rates occurred in Southern (120,95% eCI: 116−126), Eastern (107, 95% eCI: 100−114), and Western Europe (66, 95% eCI: 62−70). The excess death ratio was also higher in these regions. Notably, 54.29% (95% eCI: 45.71−61.36%) of these deaths were attributable to human-induced climate change. These results underscore the urgent need for adaptive public health interventions and climate mitigation strategies to mitigate future mortality burdens under increasing global warming.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10510 - Climatic research

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The Innovation

  • ISSN

    2666-6758

  • e-ISSN

    2666-6758

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    7

  • Pages from-to

    101110

  • UT code for WoS article

    001594110900002

  • EID of the result in the Scopus database

    2-s2.0-105017659374