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Abstract
Heat has become a leading cause of preventable deaths during summer. This study uses a multi-scale machine learning model to estimate heat-related mortality in Germany with variable temporal and spatial resolution. The model estimates 48,000 heat-related deaths in Germany (2014–2023), with most occurring during heatwaves. Projections suggest a 2.5 to 9-fold increase in heat-related mortality by 2100 without adaptation, highlighting the need for targeted adaptation measures.
Publisher
Communications Medicine
Published On
Oct 21, 2024
Authors
Junyu Wang, Nikolaos Nikolaou, Matthias an der Heiden, Christopher Irrgang
Tags
heat-related mortality
machine learning
heatwaves
Germany
public health
climate change
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