Evidence map›Paper›PMID 18512448›Full record

ArticleJournal of the Air & Waste Management Association (1995)2008

Development of ambient air quality population-weighted metrics for use in time-series health studies.

Diane Ivy, James A Mulholland, Armistead G Russell

Abstract read
In one paragraph

Article in Journal of the Air & Waste Management Association (1995), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 12% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Using Multisource Data to Assess PMInternational journal of environmental research and public health · 2022
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  13. Assessment of German population exposure levels to PM10 based on multiple spatial-temporal data.Environmental science and pollution research international · 2020
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  18. PMInternational journal of environmental research and public health · 2017
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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

3 authors at 1 institution in 1 country.

Diane IvySchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0512, USA.
James A Mulholland
Armistead G Russell
Georgia Institute of Technology · US

Funding

Multiple Pollutants and Cardiorespiratory OutcomesR01ES011294 · NIEHS · EMORY UNIVERSITY · PI TOLBERT, PAIGE E · 2002 to 2005
$1.1M
NIEHS NIH HHS R01 ES011294NIEHS NIH HHS R01 ES11294
6 · The paper itself

Abstract

A robust methodology was developed to compute population-weighted daily measures of ambient air pollution for use in time-series studies of acute health effects. Ambient data, including criteria pollutants and four fine particulate matter (PM) components, from monitors located in the 20-county metropolitan Atlanta area over the time period of 1999-2004 were normalized, spatially resolved using inverse distance-square weighting to Census tracts, denormalized using descriptive spatial models, and population-weighted. Error associated with applying this procedure with fewer than the maximum number of observations was also calculated. In addition to providing more representative measures of ambient air pollution for the health study population than provided by a central monitor alone and dampening effects of measurement error and local source impacts, results were used to evaluate spatial variability and to identify air pollutants for which ambient concentrations are poorly characterized. The decrease in correlation of daily monitor observations with daily population-weighted average values with increasing distance of the monitor from the urban center was much greater for primary pollutants than for secondary pollutants. Of the criteria pollutant gases, sulfur dioxide observations were least representative because of the failure of ambient networks to capture the spatial variability of this pollutant for which concentrations are dominated by point source impacts. Daily fluctuations in PM of particles less than 10 microm in aerodynamic diameter (PM10) mass were less well characterized than PM of particles less than 2.5 microm in aerodynamic diameter (PM2.5) mass because of a smaller number of PM10 monitors with daily observations. Of the PM2.5 components, the carbon fractions were less well spatially characterized than sulfate and nitrate both because of primary emissions of elemental and organic carbon and because of differences in measurement techniques used to assess these carbon fractions.

Indexed as

Air PollutionAlgorithmsEnvironmental ExposureGeorgiaHumansModels, StatisticalPopulationRural PopulationUrban Population

Identifiers

PMID18512448
PMCPMC3755367
OpenAlexW2036503821

What OpenQuestion holds

Textmetadata
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.