Evidence map›Paper›PMID 36508743›Full record

ArticleEnvironmental science & technology2023

Impact of Mobile Monitoring Network Design on Air Pollution Exposure Assessment Models.

Magali N Blanco, Jianzhao Bi, Elena Austin, Timothy V Larson, Julian D Marshall, Lianne Sheppard

Abstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Assessment of long-term exposure to traffic-related air pollution: An exposure framework.Journal of exposure science & environmental epidemiology · 2025
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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

6 authors.

Magali N BlancoDepartment of Environmental and Occupational Health Sciences, School of Public Health, Hans Rosling Center for Population Health, University of Washington, 3980 15th Avenue NE, Seattle, Washington98195, United States.ORCID 0000-0002-9998-995X
Jianzhao BiDepartment of Environmental and Occupational Health Sciences, School of Public Health, Hans Rosling Center for Population Health, University of Washington, 3980 15th Avenue NE, Seattle, Washington98195, United States.
Elena AustinDepartment of Environmental and Occupational Health Sciences, School of Public Health, Hans Rosling Center for Population Health, University of Washington, 3980 15th Avenue NE, Seattle, Washington98195, United States.ORCID 0000-0002-4724-1042
Timothy V LarsonDepartment of Environmental and Occupational Health Sciences, School of Public Health, Hans Rosling Center for Population Health, University of Washington, 3980 15th Avenue NE, Seattle, Washington98195, United States.
Julian D MarshallDepartment of Civil & Environmental Engineering, College of Engineering, University of Washington, 201 More Hall, Box 352700, Seattle, Washington98195, United States.ORCID 0000-0003-4087-1209
Lianne SheppardDepartment of Environmental and Occupational Health Sciences, School of Public Health, Hans Rosling Center for Population Health, University of Washington, 3980 15th Avenue NE, Seattle, Washington98195, United States.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
Air Pollution, the Aging Brain and Alzheimer's DiseaseR01ES026187 · NIEHS · UNIVERSITY OF WASHINGTON · PI LI, GAIL, SHEPPARD, ELIZABETH A LIANNE · 2016 to 2020
$3.8M
NIEHS NIH HHS P30 ES007033NIEHS NIH HHS R01 ES026187
6 · The paper itself

Abstract

Short-term mobile monitoring campaigns are increasingly used to assess long-term air pollution exposure in epidemiology. Little is known about how monitoring network design features, including the number of stops and sampling temporality, impacts exposure assessment models. We address this gap by leveraging an extensive mobile monitoring campaign conducted in the greater Seattle area over the course of a year during all days of the week and most hours. The campaign measured total particle number concentration (PNC; sheds light on ultrafine particulate (UFP) number concentration), black carbon (BC), nitrogen dioxide (NO

Indexed as

Air PollutantsAir PollutionCarbon DioxideEnvironmental MonitoringNitrogen DioxideParticulate MatterSootAir PollutantsCarbon DioxideNitrogen DioxideParticulate MatterSootair pollutionenvironmental monitoringexposure assessmentmobile monitoringprediction modelsultrafine particles

Identifiers

PMID36508743
PMCPMC10615227

What OpenQuestion holds

Textmetadata
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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.