Evidence map›Paper›PMID 30857354›Full record

ArticleToxics2019

A Model-to-Monitor Evaluation of 2011 National-Scale Air Toxics Assessment (NATA).

Zhuqing Xue, Chunrong Jia

Abstract read
In one paragraph

Article in Toxics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Total cancer risk estimates from measured concentrations of volatile organic compounds in industrialized southeastern Louisiana.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Ambient NOEnvironmental science & technology letters · 2023
    Article
  6. Observational
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Medication use associated with exposure to manganese in two Ohio towns.International journal of environmental health research
    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

2 authors.

Zhuqing XueSchool of Public Health, University of Memphis, Memphis, TN 38152, USA. zxue@memphis.edu.
Chunrong JiaSchool of Public Health, University of Memphis, Memphis, TN 38152, USA. cjia@memphis.edu.ORCID 0000-0001-6541-6478

Funding

JPB Foundation JPB Environmental Health Fellowship
6 · The paper itself

Abstract

Environmental research has widely utilized the ambient concentrations of hazardous air pollutants (HAPs) modeled by the National-Scale Air Toxics Assessment (NATA) program; however, limited studies have evaluated the model's performance. This study aims to evaluate the model-to-monitor agreement of the 2011 NATA data with the monitoring data reported to the U.S. Environmental Protection Agency's (EPA) Air Quality System (AQS). Concentrations of 27 representative HAPs measured at 274 sites in the U.S. in 2011 were merged with NATA data by census tract. The comparison consisted of two steps for each HAP: first, the model-monitor difference at each site was compared with the limit of quantitation (LOQ); second, the modeled annual average was compared to the 95% confidence interval of the monitored annual average. Nationally, NATA could predict national medians of most HAPs well; however, it was unable to capture high concentrations. At individual sites, a large portion of model-monitor differences was below the LOQs, indicating they were unquantifiable. Model-to-monitor agreement displayed inconsistent patterns in terms of chemical groups or EPA regions and was strongly impacted by the comparison methods. The substantial non-agreements of NATA predictions with monitoring data require caution in environmental epidemiology and justice studies that are based on NATA data.

Indexed as

hazardous air pollutantmodelingmodel performancemodel-to-monitor comparisonNATA

Identifiers

PMID30857354
PMCPMC6468659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.