Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning
Introduction: Chronic Obstructive Pulmonary Disease (COPD) mortality rates and global warming have been in the focus of scientists and policymakers in the past decade. The long-term shifts in temperature and weather patterns, commonly referred to as climate change, is an important public health iss...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2025-03-01
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| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://www.geospatialhealth.net/gh/article/view/1319 |
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