ReviewJournal of exposure science & environmental epidemiology2025
A review of geospatial exposure models and approaches for health data integration.
Review in Journal of exposure science & environmental epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus.BMC medical informatics and decision making · 2026Pooled it
- Ocular light and optical radiation exposure as a modifiable environmental determinant of health: expert consensus on research gaps and priorities.BMC medicine · 2026Guideline
- Practical considerations for characterization of the external exposome in Alzheimer's disease and related dementias cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Accuracy of seven GPS-based geolocation techniquesBMJ open · 2026Article
- Geospatial analysis in addressing surgical care inequities: A scoping review and methodological guide.PLOS digital health · 2026Article
- Accelerating discovery of cancer causes for prevention in the era of rising early-onset cancers.Cell · 2026Review
- Estimating PM₂.₅-influenza risk using home-school-commute exposure modeling from hourly monitoring data: schoolchildren in Guangzhou, China, 2014-2019.BMC public health · 2026Article
- Proximity of city schools in Scotland to air quality monitors: an exploratory geomapping study in five Scottish cities.BMJ public health · 2026Article
- Development of Life Course Exposure Estimates Using Geospatial Data and Residence History.International journal of environmental research and public health · 2025Article
- [Environmental justice-challenges for spatial analysis and monitoring].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Article
- Harnessing Geospatial Artificial Intelligence (GeoAI) for Environmental Epidemiology: A Narrative Review.Current environmental health reports · 2025Review
- Radiation effects research foundation-a view to the future.Carcinogenesis · 2025Article
- Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.Environmental science & technology · 2025Article
- Integrating geospatial data with birth cohorts to explore social determinants of health and asthma.The Journal of allergy and clinical immunology · 2025Review
- Air pollution and cardiovascular diseases: mechanisms, evidence, and mitigation strategies.Journal of medicine and life · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGeospatial methods are common in environmental exposure assessments and increasingly integrated with health data to generate comprehensive models of environmental impacts on public health.
objectiveOur objective is to review geospatial exposure models and approaches for health data integration in environmental health applications.
methodsWe conduct a literature review and synthesis.
resultsFirst, 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, water quality, climate, and socioeconomic factors. For each model type, we provide descriptions, general equations, and example applications for environmental exposure assessment. Fourth, we discuss the approaches used to integrate geospatial exposure data and health data, such as methods to link data sources with disparate spatial and temporal scales. Fifth, we describe the landscape of open-source tools supporting these workflows.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.