Evidence map›Paper›PMID 24559198›Full record

ArticleEnvironmental science & technology2014

An hourly regression model for ultrafine particles in a near-highway urban area.

Allison P Patton, Caitlin Collins, Elena N Naumova, Wig Zamore, Doug Brugge, John L Durant

Abstract read
In one paragraph

Article in Environmental science & technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

  1. Trial
  2. Real-time record of particulate matter along traffic roads and health risk assessment.Environmental science and pollution research international · 2026
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  9. Spatio-Temporal Variation-Induced Group Disparity of Intra-Urban NOInternational journal of environmental research and public health · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
  17. Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure.International journal of environmental research and public health · 2018
    Article
  18. Article
  19. Article
  20. 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

6 authors.

Allison P PattonDepartment of Civil and Environmental Engineering, School of Engineering, Tufts University , Medford, Massachusetts 02155, United States.
Caitlin Collins
Elena N Naumova
Wig Zamore
Doug Brugge
John L Durant

Funding

Effect of Ambient Particles on Acute Stroke OnsetP01ES009825 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GOLD, DIANE R · 1999 to 2009
$17.4M
Community Assessment of Freeway Pollution and HealthR01ES015462 · NIEHS · TUFTS UNIVERSITY BOSTON · PI BRUGGE, DOUG · 2008 to 2012
$2.5M
NIEHS NIH HHS ES015462NIEHS NIH HHS P01 ES009825NIEHS NIH HHS P01 ES-09825NIEHS NIH HHS R01 ES015462
6 · The paper itself

Abstract

Estimating ultrafine particle number concentrations (PNC) near highways for exposure assessment in chronic health studies requires models capable of capturing PNC spatial and temporal variations over the course of a full year. The objectives of this work were to describe the relationship between near-highway PNC and potential predictors, and to build and validate hourly log-linear regression models. PNC was measured near Interstate 93 (I-93) in Somerville, MA using a mobile monitoring platform driven for 234 h on 43 days between August 2009 and September 2010. Compared to urban background, PNC levels were consistently elevated within 100-200 m of I-93, with gradients impacted by meteorological and traffic conditions. Temporal and spatial variables including wind speed and direction, temperature, highway traffic, and distance to I-93 and major roads contributed significantly to the full regression model. Cross-validated model R(2) values ranged from 0.38 to 0.47, with higher values achieved (0.43 to 0.53) when short-duration PNC spikes were removed. The model predicts highest PNC near major roads and on cold days with low wind speeds. The model allows estimation of hourly ambient PNC at 20-m resolution in a near-highway neighborhood.

Indexed as

Models, TheoreticalAir PollutantsEnvironmental MonitoringMassachusettsParticulate MatterRegression AnalysisTime FactorsUrban HealthWindAir PollutantsParticulate Matter

Identifiers

PMID24559198
PMCPMC4347899

What OpenQuestion holds

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Read underepoch 390

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.