The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure
Spatial epidemiology, defined as the study of spatial patterns in disease burdens or health outcomes, aims to estimate disease risk or incidence by identifying geographical risk factors and populations at risk (Morrison et al., 2024). Research in spatial epidemiology relies on both conventional app...
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| Main Authors: | Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2025-06-01
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| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://www.geospatialhealth.net/gh/article/view/1386 |
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