Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning
Policymakers in the United States could use the findings of this study to develop long-term spatial and health-related strategies to reduce the vulnerability to global warming of patients with acute respiratory symptoms.
Authors
- Alireza Mohammadi (ORCID: https://orcid.org/0000-0002-3327-0942)
- Bardia Mashhoodi
- Ali Shamsoddini (ORCID: https://orcid.org/0000-0001-9757-4331)
- Robert Bergquist (ORCID: https://orcid.org/0000-0002-0190-1084)
- Elahe Pishagr
Institutions
- Shahid Beheshti University (IR)
- University of Mohaghegh Ardabili (IR)
- Islamic Azad University of Shiraz (IR)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Geospatial health
- Published
- 2025-03-26
- DOI
- https://doi.org/10.4081/gh.2025.1319
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00