Evidence map›Paper›PMID 31749659›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2019

Characterizing population exposure to coal emissions sources in the United States using the HyADS model.

Lucas R F Henneman, Christine Choirat, Cesunica Ivey, Kevin Cummiskey, Corwin M Zigler

Abstract read
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Measuring historical pollution: Natural history collections as tools for public health and environmental justice research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Inequitable Exposures to U.S. Coal Power Plant-RelatedEnvironmental health perspectives · 2023
    Article
  14. A Mechanistic Model of Annual Sulfate Concentrations in the United States.Journal of the American Statistical Association · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Data Science in Environmental Health Research.Current epidemiology reports · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lucas R F HennemanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Christine ChoiratDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Cesunica IveyUniversity of California Riverside, Riverside, CA.
Kevin CummiskeyDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA.
Corwin M ZiglerDepartment of Statistics and Data Sciences and Department of Women's Health, University of Texas at Austin and Dell Medical School, Austin, TX.

Funding

Causal Inference with Interference for Evaluating Air Quality PoliciesR01ES026217 · NIEHS · UNIVERSITY OF TEXAS AT AUSTIN · PI ZIGLER, CORWIN MATTHEW · 2016 to 2021
$2.2M
NIEHS NIH HHS R01 ES026217
6 · The paper itself

Abstract

In anticipation of the expanding appreciation for air quality models in health outcomes studies, we develop and evaluate a reduced-complexity model for pollution transport that intentionally sacrifices some of the sophistication of full-scale chemical transport models in order to support applicability to a wider range of health studies. Specifically, we introduce the HYSPLIT average dispersion model, HyADS, which combines the HYSPLIT trajectory dispersion model with modern advances in parallel computing to estimate ZIP code level exposure to emissions from individual coal-powered electricity generating units in the United States. Importantly, the method is not designed to reproduce ambient concentrations of any particular air pollutant; rather, the primary goal is to characterize each ZIP code's exposure to these coal power plants specifically. We show adequate performance towards this goal against observed annual average air pollutant concentrations (nationwide Pearson correlations of 0.88 and 0.73 with

Indexed as

air pollution exposureHYSPLITPM2.5Reduced complexity modelsource impacts

Identifiers

PMID31749659
PMCPMC6867130

What OpenQuestion holds

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Registered trials

None linked

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.