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

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Bibliographic Details
Title: A review of geospatial exposure models and approaches for health data integration.
Authors: Clark LP; National Institute of Environmental Health Sciences, Office of the Scientific Director, Office of Data Science, Durham, NC, USA., Zilber D; National Institute of Environmental Health Sciences, Division of Translational Toxicology, Predictive Toxicology Branch, Durham, NC, USA., Schmitt C; National Institute of Environmental Health Sciences, Office of the Scientific Director, Office of Data Science, Durham, NC, USA., Fargo DC; National Institute of Environmental Health Sciences, Office of the Director, Office of Environmental Science Cyberinfrastructure, Durham, NC, USA., Reif DM; National Institute of Environmental Health Sciences, Division of Translational Toxicology, Predictive Toxicology Branch, Durham, NC, USA., Motsinger-Reif AA; National Institute of Environmental Health Sciences, Division of Intramural Research, Biostatistics and Computational Biology Branch, Durham, NC, USA., Messier KP; National Institute of Environmental Health Sciences, Division of Translational Toxicology, Predictive Toxicology Branch, Durham, NC, USA. kyle.messier@nih.gov.; National Institute of Environmental Health Sciences, Division of Intramural Research, Biostatistics and Computational Biology Branch, Durham, NC, USA. kyle.messier@nih.gov.
Source: Journal of exposure science & environmental epidemiology [J Expo Sci Environ Epidemiol] 2025 Apr; Vol. 35 (2), pp. 131-148. Date of Electronic Publication: 2024 Sep 06.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101262796 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-064X (Electronic) Linking ISSN: 15590631 NLM ISO Abbreviation: J Expo Sci Environ Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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