ArticleToxics2022
Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities.
Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of air pollution exposure and brain structure and function during development.Environmental research · 2025Pooled it
- STROBE-GEMA: a STROBE extension for reporting of geographically explicit ecological momentary assessment studies.Archives of public health = Archives belges de sante publique · 2024Pooled it
- Beyond genetics: how environmental stressors drive pediatric hypertension risk.Pediatric nephrology (Berlin, Germany) · 2026Review
- Linking "Big" Geospatial and Health Data: Implications for Research in Environmental Epidemiology.Environmental health perspectives · 2026Article
- Building Enhanced Public Health Data Systems With a Situational Awareness and Learning Tool: Focus Group Study.Online journal of public health informatics · 2026Article
- Development of Life Course Exposure Estimates Using Geospatial Data and Residence History.International journal of environmental research and public health · 2025Article
- Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma exacerbations.PLOS digital health · 2025Article
- A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025Review
- FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research.BMC medical informatics and decision making · 2025Article
- Exploring genetic susceptibility to air pollution and its implications for disease risk and precision health: A scoping review.AIMS public health · 2025Review
- Methods for Quantifying Source-Specific Air Pollution Exposure to Serve Epidemiology, Risk Assessment, and Environmental Justice.GeoHealth · 2024Review
- A Systematic Review of Air Pollution Exposure and Brain Structure and Function during Development.medRxiv : the preprint server for health sciences · 2024Article
- Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.Environmental health perspectives · 2024Article
- Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Lifetime residential history collection and processing for environmental data linkages in the ABCD study.Health & place · 2024Article
- Not just crop or forest: an integrated land cover map for agricultural and natural areas.Scientific data · 2024Article
- Community-level exposomics: a population-centered approach to address public health concerns.Exposome · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Quantifying the exposome is key to understanding how the environment impacts human health and disease. However, accurately, and cost-effectively quantifying exposure in large population health studies remains a major challenge. Geospatial technologies offer one mechanism to integrate high-dimensional environmental data into epidemiology studies, but can present several challenges. In June 2021, the National Institute of Environmental Health Sciences (NIEHS) held a workshop bringing together experts in exposure science, geospatial technologies, data science and population health to address the need for integrating multiscale geospatial environmental data into large population health studies. The primary objectives of the workshop were to highlight recent applications of geospatial technologies to examine the relationships between environmental exposures and health outcomes; identify research gaps and discuss future directions for exposure modeling, data integration and data analysis strategies; and facilitate communications and collaborations across geospatial and population health experts. This commentary provides a high-level overview of the scientific topics covered by the workshop and themes that emerged as areas for future work, including reducing measurement errors and uncertainty in exposure estimates, and improving data accessibility, data interoperability, and computational approaches for more effective multiscale and multi-source data integration, along with potential solutions.
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.