Evidence map›Paper›PMID 24906074›Full record

Trial reportEnvironmental research2014

Assessment of primary and secondary ambient particle trends using satellite aerosol optical depth and ground speciation data in the New England region, United States.

Hyung Joo Lee, Choong-Min Kang, Brent A Coull, Michelle L Bell, Petros Koutrakis

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Environmental research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Long-term impact of PMJournal of the Air & Waste Management Association (1995) · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Satellite remote sensing in epidemiological studies.Current opinion in pediatrics · 2016
    Review
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.

Hyung Joo LeeExposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA. Electronic address: hlee@hsph.harvard.edu.
Choong-Min KangExposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Brent A CoullDepartment of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Michelle L BellSchool of Forestry and Environmental Studies, Yale University, New Haven, CT, USA.
Petros KoutrakisExposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
Effect of Ambient Particles on Acute Stroke OnsetP01ES009825 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GOLD, DIANE R · 1999 to 2009
$17.4M
NIEHS NIH HHS P01 ES009825NIEHS NIH HHS P01ES009825NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

The effectiveness of air pollution emission control policies can be evaluated by examining ambient pollutant concentration trends that are observed at a large number of ground monitoring sites over time. In this paper, we used ground monitoring measurements in conjunction with satellite aerosol optical depth (AOD) data to investigate fine particulate matter (PM2.5; particulate matter with aerodynamic diameter ≤ 2.5 µm) trends and their spatial patterns over a large U.S. region, New England, during 2000-2008. We examined the trends in rural and urban areas to get a better insight about the trends of regional and local source emissions. Decreases in PM2.5 concentrations (µg/m(3)) were more pronounced in urban areas than in rural ones. In addition, the highest and lowest PM2.5 decreases (µg/m(3)) were observed for winter and summer, respectively. Together, these findings suggest that primary particle concentrations decreased more relative to secondary ones. This is also supported by the analysis of the speciation data which showed that downward trends of primary pollutants including black carbon were stronger than those of secondary pollutants including sulfate. Furthermore, this study found that ambient primary pollutants decreased at the same rate as their respective source emissions. This was not the case for secondary pollutants which decreased at a slower rate than that of their precursor emissions. This indicates that concentrations of secondary pollutants depend not only on the primary emissions but also on the availability of atmospheric oxidants which might not change during the study period. This novel approach of investigating spatially varying concentration trends, in combination with ground PM2.5 species trends, can be of substantial regulatory importance.

Indexed as

Remote Sensing TechnologyAerosolsAir PollutionEnvironmental MonitoringForecastingHumansNew EnglandParticulate MatterRural PopulationSeasonsUrban PopulationAerosolsParticulate MatterAODEmissionMODISPM(2.5)Trend analysis

Identifiers

PMID24906074
PMCPMC4146574

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.