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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Bibliographic Details
Main Authors: Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani
Format: Article
Language:English
Published: PAGEPress Publications 2025-06-01
Series:Geospatial Health
Subjects:
Online Access:https://www.geospatialhealth.net/gh/article/view/1386
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