ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2019
Facilitating Inclusion of Geocoded Pollution Data into Health Studies.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 6 citations in OpenAlex.
- The Complete Inpatient Record Using Comprehensive Electronic Data (CIRCE) project: A team-based approach to clinically validated, research-ready electronic health record data.Learning health systems · 2025Article
- Midlife and late-life environmental exposures on dementia risk in the Wisconsin Longitudinal Study: The modifying effects of ApoE.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Linking Ambient NO2 Pollution Measures with Electronic Health Record Data to Study Asthma Exacerbations.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Using land use variable information and a random forest approach to correct spatial mean bias in fused CMAQ fields for particulate and gas species.Atmospheric environment (Oxford, England : 1994) · 2022Article
- Consolidated Environmental and Social Data Facilitates Neighborhood-Level Health Studies in Philadelphia.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Integrating Biomedical Informatics Training into Existing High School Curricula.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational ScienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Exposure to pollutants impacts health and has been associated with a range of diseases, including respiratory and heart diseases, as well as all-cause mortality. Because taking exposure measures for individual studies is costly and impractical, most rely on data from sources such as the Environmental Protection Agency (EPA), which provides a wealth of publicly available pollution measures taken at over two thousand monitoring sites across the United States. While EPA data is readily available, estimating pollution exposure at a given latitude-longitude location remains computationally intensive. We developed Pollution-Associated Risk Geospatial Analysis SITE (PARGASITE), an online web-application and R package, that can be used to estimate levels of pollutants in the U.S. for 2005 through 2017 at user-defined geographic locations and time ranges. We demonstrate how PARGASITE can facilitate the study of associations between exposures and health outcomes using as an example an analysis of asthma risk factors among adults.
Identifiers
31259010PMC6568125W2997475318What 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.