Evidence map›Paper›PMID 37181009›Full record

ArticleGeoHealth2023

Combining Satellite-Derived PM

Ciaran L Gallagher, Tracey Holloway, Christopher W Tessum, Clara M Jackson, Colleen Heck

Abstract read
In one paragraph

Article in GeoHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. PMScience advances · 2026
    Article
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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

5 authors.

Ciaran L GallagherNelson Institute Center for Sustainability and the Global Environment University of Wisconsin-Madison Madison WI USA.ORCID https://orcid.org/0000-0002-6460-1206
Tracey HollowayNelson Institute Center for Sustainability and the Global Environment University of Wisconsin-Madison Madison WI USA.ORCID https://orcid.org/0000-0002-8488-408X
Christopher W TessumDepartment of Civil and Environmental Engineering University of Illinois-Urbana-Champaign Urbana IL USA.ORCID https://orcid.org/0000-0002-8864-7436
Clara M JacksonNelson Institute Center for Sustainability and the Global Environment University of Wisconsin-Madison Madison WI USA.
Colleen HeckNelson Institute Center for Sustainability and the Global Environment University of Wisconsin-Madison Madison WI USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air quality models can support pollution mitigation design by simulating policy scenarios and conducting source contribution analyses. The Intervention Model for Air Pollution (InMAP) is a powerful tool for equitable policy design as its variable resolution grid enables intra-urban analysis, the scale of which most environmental justice inquiries are levied. However, InMAP underestimates particulate sulfate and overestimates particulate ammonium formation, errors that limit the model's relevance to city-scale decision-making. To reduce InMAP's biases and increase its relevancy for urban-scale analysis, we calculate and apply scaling factors (SFs) based on observational data and advanced models. We consider both satellite-derived speciated PM

Indexed as

decision‐makingenvironmental justicefine particulate matterNAAQSreduced‐form modelsatellite‐derived PM2.5

Identifiers

PMID37181009
PMCPMC10169548

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.