Evidence map›Paper›PMID 25343779›Full record

ArticleEnvironmental health perspectives2015

Use of satellite observations for long-term exposure assessment of global concentrations of fine particulate matter.

Aaron van Donkelaar, Randall V Martin, Michael Brauer, Brian L Boys

Abstract read
In one paragraph

Article in Environmental health perspectives, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 202 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
202citing papers in PubMed, 5 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

202 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Associations of Exposure to Air Pollution with Insulin Resistance: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2018
    Pooled it
  6. Article
  7. Comparison of High Spatial Resolution PMEnvironmental science & technology · 2026
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  15. Can New-type Urbanization Pave a Way against Depression? Evidence from a Quasi-Natural Experiment in China.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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142 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Aaron van DonkelaarDepartment of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Randall V Martin
Michael Brauer
Brian L Boys

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than a decade of satellite observations offers global information about the trend and magnitude of human exposure to fine particulate matter (PM2.5).

objectiveIn this study, we developed improved global exposure estimates of ambient PM2.5 mass and trend using PM2.5 concentrations inferred from multiple satellite instruments.

methodsWe combined three satellite-derived PM2.5 sources to produce global PM2.5 estimates at about 10 km × 10 km from 1998 through 2012. For each source, we related total column retrievals of aerosol optical depth to near-ground PM2.5 using the GEOS-Chem chemical transport model to represent local aerosol optical properties and vertical profiles. We collected 210 global ground-based PM2.5 observations from the literature to evaluate our satellite-based estimates with values measured in areas other than North America and Europe.

resultsWe estimated that global population-weighted ambient PM2.5 concentrations increased 0.55 μg/m3/year (95% CI: 0.43, 0.67) (2.1%/year; 95% CI: 1.6, 2.6) from 1998 through 2012. Increasing PM2.5 in some developing regions drove this global change, despite decreasing PM2.5 in some developed regions. The estimated proportion of the population of East Asia living above the World Health Organization (WHO) Interim Target-1 of 35 μg/m3 increased from 51% in 1998-2000 to 70% in 2010-2012. In contrast, the North American proportion above the WHO Air Quality Guideline of 10 μg/m3 fell from 62% in 1998-2000 to 19% in 2010-2012. We found significant agreement between satellite-derived estimates and ground-based measurements outside North America and Europe (r = 0.81; n = 210; slope = 0.68). The low bias in satellite-derived estimates suggests that true global concentrations could be even greater.

conclusionsSatellite observations provide insight into global long-term changes in ambient PM2.5 concentrations. Satellite-derived estimates and ground-based PM2.5 observations from this study are available for public use.

Indexed as

Satellite ImageryAir PollutantsAir PollutionEnvironmental ExposureEnvironmental MonitoringHumansParticle SizeParticulate MatterAir PollutantsParticulate Matter

Identifiers

PMID25343779
PMCPMC4314252

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Registered trials

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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.