Evidence map›Paper›PMID 27649895›Full record

ArticleJournal of the Air & Waste Management Association (1995)2017

A novel calibration approach using satellite and visibility observations to estimate fine particulate matter exposures in Southwest Asia and Afghanistan.

Shahir Masri, Eric Garshick, Brent A Coull, Petros Koutrakis

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Journal of the Air & Waste Management Association (1995), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Shahir Masria Exposure, Epidemiology, and Risk Program, Department of Environmental Health , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Eric Garshickb Pulmonary, Allergy, Sleep, and Critical Care Medicine Section , Medical Service, VA Boston Healthcare System , Boston , MA , USA.
Brent A Coulld Department of Biostatistics , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Petros Koutrakisa Exposure, Epidemiology, and Risk Program, Department of Environmental Health , Harvard T.H. Chan School of Public Health , Boston , MA , USA.
Harvard University · USBrigham and Women's Hospital · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
EPA RD-83479801Intramural VA VA999999NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

In order to study effects of ambient particulate matter (PM) it was previously necessary to have access to a comprehensive air monitoring network. However, there are locations in the world where PM levels are above generally accepted exposure standards but lack a monitoring infrastructure. This is true in Iraq and other locations in Southwest Asia and Afghanistan where U.S. and other coalition troops were deployed beginning in 2001. Since aerosol optical depth (AOD), determined by satellite, and visibility are both highly related to atmospheric PM IMPLICATIONS: This study demonstrates the ability to utilize aerosol optical depth to successfully estimate visibility spatially and temporally in Southwest Asia and Afghanistan. This enables for the estimation of spatially resolved PM

Indexed as

SpacecraftAerosolsAfghanistanAir PollutantsAir PollutionCalibrationEnvironmental MonitoringHumansMiddle EastParticulate MatterAerosolsAir PollutantsParticulate Matter

Identifiers

PMID27649895
PMCPMC5177520
OpenAlexW2521613012

What OpenQuestion holds

Textmetadata
LicenceTDM
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.