Evidence map›Paper›PMID 22247150›Full record

ArticleApplied and environmental microbiology2012

Characterization of airborne bacteria at an underground subway station.

Marius Dybwad, Per Einar Granum, Per Bruheim, Janet Martha Blatny

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Article
  3. Detection of the ST111 Global High-RiskCurrent issues in molecular biology · 2025
    Article
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  15. Environmental and Health Effects of Ventilation in Subway Stations: A Literature Review.International journal of environmental research and public health · 2020
    Review
  16. PMEnvironment international · 2020
    Article
  17. Review
  18. 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

4 authors at 3 institutions in 1 country.

Marius DybwadNorwegian Defence Research Establishment, Kjeller, Norway.
Per Einar Granum
Per Bruheim
Janet Martha Blatny
Norwegian Defence Research Establishment · NONorwegian University of Science and Technology · NONorwegian Veterinary Institute · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliable detection of airborne biological threat agents depends on several factors, including the performance criteria of the detector and its operational environment. One step in improving the detector's performance is to increase our knowledge of the biological aerosol background in potential operational environments. Subway stations are enclosed public environments, which may be regarded as potential targets for incidents involving biological threat agents. In this study, the airborne bacterial community at a subway station in Norway was characterized (concentration level, diversity, and virulence- and survival-associated properties). In addition, a SASS 3100 high-volume air sampler and a matrix-assisted laser desorption ionization-time of flight mass spectrometry-based isolate screening procedure was used for these studies. The daytime level of airborne bacteria at the station was higher than the nighttime and outdoor levels, and the relative bacterial spore number was higher in outdoor air than at the station. The bacterial content, particle concentration, and size distribution were stable within each environment throughout the study (May to September 2010). The majority of the airborne bacteria belonged to the genera Bacillus, Micrococcus, and Staphylococcus, but a total of 37 different genera were identified in the air. These results suggest that anthropogenic sources are major contributors to airborne bacteria at subway stations and that such airborne communities could harbor virulence- and survival-associated properties of potential relevance for biological detection and surveillance, as well as for public health. Our findings also contribute to the development of realistic testing and evaluation schemes for biological detection/surveillance systems by providing information that can be used to mimic real-life operational airborne environments in controlled aerosol test chambers.

Indexed as

Air MicrobiologyBiotaRailroadsBacteriaBacteriological TechniquesCluster AnalysisColony Count, MicrobialDNA, BacterialDNA, RibosomalNorwayPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID22247150
PMCPMC3298144
OpenAlexW1985415494

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.