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Climate-Informed Machine Learning for Predicting Heat-Related Health Risks: Towards Resilient and Personalized Early Warning Systems

2025-09-08

Abstract excerpt

Severe heat events cause over 489,000 deaths each year worldwide, with forecasts suggesting a 2.3–4.5 times rise in heat-related illnesses by 2050 if climate change remains unmanaged. In Nigeria, more than 75,000 hospitalizations in 2023 were due to heat stress, dehydration, and heart-related issues, impacting vulnerable populations like the elderly, outdoor workers, and children. Existing heat-health alert system...

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Literature Corpus work
bfed89c0-f1fd-5498-ae6a-46f628916560
DOI
10.20944/preprints202509.0595.v1
Open publication

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Climate-Informed Machine Learning for Predicting Heat-Related Health Risks: Towards Resilient and Personalized Early Warning SystemsDOI 10.20944/preprints202509.0595.v1
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