ArticlePloS one2017
Assessment of the Bacterial Diversity of Aircraft Water: Identification of the Frequent Fliers.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Microbiological quality and antimicrobial resistance of Pseudomonas aeruginosa in drinking water systems of the old terminal of Jorge Chávez International Airport: potential role as environmental reservoir.Revista peruana de medicina experimental y salud publica · 2026Article
- Review
- The Emergence of the GenusPathogens (Basel, Switzerland) · 2022Review
- The Gram-Negative Bacilli Isolated from Caves-International journal of environmental research and public health · 2022Review
- The GenusMicroorganisms · 2020Review
- Complete Genome Sequence of Brevundimonas sp. Strain SGAir0440, Isolated from Indoor Air in Singapore.Microbiology resource announcements · 2019Article
- The effectiveness of disinfection and flushing procedures to prevent coliform persistence in aircraft water systems.Water science & technology, water supply · 2019Article
- Brevundimonas spp: Emerging global opportunistic pathogens.Virulence · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to determine and identify bacteria inhabiting the supply chain of an airline's drinking water using phenotypic and 16S rDNA sequence-based analysis. Water samples (n = 184) were sourced from long-haul and short-haul aircraft, the airline water source and a water service vehicle. In total, 308 isolates were characterised and their identity determined, which produced 82 identified bacterial species belonging to eight classes: γ-Proteobacteria; β-Proteobacteria; α-Proteobacteria; Bacilli; Actinobacteria; Flavobacteria; Sphingobacteria and Cytophaga. Statistical differences in bacterial diversity were found to exist across sampling locations (X2 = 39.220, p = 0.009) and furthermore, differences were observed (X2 = 15.475, p = 0.030) across aircraft type (long- or short-haul). This study demonstrates the diverse nature of microorganisms within the aircraft drinking water supply chain. To the best of our knowledge, this is the most extensive study undertaken to date of microbial diversity in aircraft drinking water.
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What OpenQuestion holds
Registered trials
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