Evidence map›Paper›PMID 39878342›Full record

ArticleEnvironmental science & technology2025

Satellite Observations of Atmospheric Ammonia Inequalities Associated with Industrialized Swine Facilities in Eastern North Carolina.

Akirah Epps, Isabella M Dressel, Xuehui Guo, Maghogho Odanibe, Kimberly P Fields, Ann Marie G Carlton, Kang Sun, Sally E Pusede

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. TROPOMI CO and NOEnvironmental science & technology · 2026
    Article
  2. Article
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

8 authors.

Akirah EppsDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States.
Isabella M DresselDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID 0000-0002-3796-0641
Xuehui GuoDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID 0000-0002-6983-6856
Maghogho OdanibeDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States.
Kimberly P FieldsCarter G. Woodson Institute for African American and African Studies, University of Virginia, Charlottesville, Virginia 22904, United States.
Ann Marie G CarltonDepartment of Chemistry, University of California Irvine, Irvine, California 92697, United States.ORCID 0000-0002-8574-1507
Kang SunDepartment of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, New York 14260, United States.ORCID 0000-0002-9930-7509
Sally E PusedeDepartment of Environmental Sciences, University of Virginia, Charlottesville, Virginia 22904, United States.ORCID 0000-0002-3041-0209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrialized swine facilities adversely affect the health and well-being of Eastern North Carolina residents in the U.S. and are an issue of environmental racism. Concentrated animal feeding operations (CAFOs) emit various harmful and noxious air pollutants, including ammonia (NH

Indexed as

AmmoniaAir PollutantsAir PollutionAnimalsAtmosphereEnvironmental MonitoringNorth CarolinaSwineAir PollutantsAmmoniaammoniaconcentrated animal feeding operations (CAFOs)environmental racisminfrared atmospheric sounding interferometer (IASI)satellite observations

Identifiers

PMID39878342
PMCPMC11823455

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.