A review of geospatial exposure models and approaches for health data integration.

ABSTRACT:

Background

Geospatial methods are common in environmental exposure assessments and increasingly integrated with health data to generate comprehensive models of environmental impacts on public health.

Objective

Our objective is to review geospatial exposure models and approaches for health data integration in environmental health applications.

Methods

We conduct a literature review and synthesis.

Results

First, we discuss key concepts and terminology for geospatial exposure data and models. Second, we provide an overview of workflows in geospatial exposure model development and health data integration. Third, we review modeling approaches, including proximity-based, statistical, and mechanistic approaches, across diverse exposure types, such as air quality, wate

SUBMITTER: Clark LP 

PROVIDER: S-EPMC12009742 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature