ArticleIranian journal of veterinary research2019
Bacterial communities in PM
Article in Iranian journal of veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed, 1 citations in OpenAlex.
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Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAir in broiler houses is contaminated with considerable amounts of microbial aerosols, which affects the health of humans and birds. Thorough cleaning and disinfecting should be carried out to reduce particulate concentrations and minimize airborne microorganisms.
aimsTo evaluate the effects of cleaning and disinfecting measures on bacterial communities in particulate matter less than 2.5 μm (PM
methodsA mixed disinfectant (containing aldehydes, alcohol, and quaternary ammonium salt) was sprayed to decontaminate broiler cage houses.
resultsA variety of pathogens and opportunistic pathogens such as
conclusionOur results suggest that disinfection measures were effective in decontaminating air and further improving the feeding environment. This finding will help develop a reasonable disinfecting scheme for broiler houses.
Indexed as
Identifiers
32042292PMC6983312W3007793988What OpenQuestion holds
Registered trials
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.