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Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital

BACKGROUND: Airborne microorganisms within the hospital environment can potentially cause infection in susceptible patients. The objectives of this study were to identify, quantify, and determine the nosocomial potential of common airborne microorganisms present within a small animal teaching hospit...

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Autores principales: Harper, Tisha A. M., Bridgewater, Shelley, Brown, Latoya, Pow-Brown, Patricia, Stewart-Johnson, Alva, Adesiyun, Abiodun A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737439/
https://www.ncbi.nlm.nih.gov/pubmed/23930156
http://dx.doi.org/10.3402/iee.v3i0.20376
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author Harper, Tisha A. M.
Bridgewater, Shelley
Brown, Latoya
Pow-Brown, Patricia
Stewart-Johnson, Alva
Adesiyun, Abiodun A.
author_facet Harper, Tisha A. M.
Bridgewater, Shelley
Brown, Latoya
Pow-Brown, Patricia
Stewart-Johnson, Alva
Adesiyun, Abiodun A.
author_sort Harper, Tisha A. M.
collection PubMed
description BACKGROUND: Airborne microorganisms within the hospital environment can potentially cause infection in susceptible patients. The objectives of this study were to identify, quantify, and determine the nosocomial potential of common airborne microorganisms present within a small animal teaching hospital. METHODS: Bioaerosol sampling was done initially in all 11 rooms and, subsequently, weekly samples were taken from selected rooms over a 9-week period. Samples were collected twice (morning and afternoon) at each site on each sampling day. The rooms were divided into two groups: Group 1, in which morning sampling was post-cleaning and afternoon sampling was during activity, and Group 2, in which morning sampling was pre-cleaning and afternoon sampling was post-cleaning. The total aerobic bacterial plate counts per m(3) and bacterial identification were done using standard microbiological methods. RESULTS: A total of 14 bacterial genera were isolated with the most frequent being Micrococcus spp. followed by species of Corynebacterium, Bacillus, and Staphylococcus. There was a significant interaction between location and time for rooms in Group 1 (p=0.0028) but not in Group 2 (p>0.05). Microbial counts for rooms in Group 2 were significantly greater in the mornings than in the afternoon (p=0.0049). The microbial counts were also significantly different between some rooms (p=0.0333). CONCLUSION: The detection of significantly higher airborne microbial loads in different rooms at different times of the day suggests that the probability of acquiring nosocomial infections is higher at these times and locations.
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spelling pubmed-37374392013-08-08 Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital Harper, Tisha A. M. Bridgewater, Shelley Brown, Latoya Pow-Brown, Patricia Stewart-Johnson, Alva Adesiyun, Abiodun A. Infect Ecol Epidemiol Original Research Article BACKGROUND: Airborne microorganisms within the hospital environment can potentially cause infection in susceptible patients. The objectives of this study were to identify, quantify, and determine the nosocomial potential of common airborne microorganisms present within a small animal teaching hospital. METHODS: Bioaerosol sampling was done initially in all 11 rooms and, subsequently, weekly samples were taken from selected rooms over a 9-week period. Samples were collected twice (morning and afternoon) at each site on each sampling day. The rooms were divided into two groups: Group 1, in which morning sampling was post-cleaning and afternoon sampling was during activity, and Group 2, in which morning sampling was pre-cleaning and afternoon sampling was post-cleaning. The total aerobic bacterial plate counts per m(3) and bacterial identification were done using standard microbiological methods. RESULTS: A total of 14 bacterial genera were isolated with the most frequent being Micrococcus spp. followed by species of Corynebacterium, Bacillus, and Staphylococcus. There was a significant interaction between location and time for rooms in Group 1 (p=0.0028) but not in Group 2 (p>0.05). Microbial counts for rooms in Group 2 were significantly greater in the mornings than in the afternoon (p=0.0049). The microbial counts were also significantly different between some rooms (p=0.0333). CONCLUSION: The detection of significantly higher airborne microbial loads in different rooms at different times of the day suggests that the probability of acquiring nosocomial infections is higher at these times and locations. Co-Action Publishing 2013-08-06 /pmc/articles/PMC3737439/ /pubmed/23930156 http://dx.doi.org/10.3402/iee.v3i0.20376 Text en © 2013 Tisha A. M. Harper et al. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Article
Harper, Tisha A. M.
Bridgewater, Shelley
Brown, Latoya
Pow-Brown, Patricia
Stewart-Johnson, Alva
Adesiyun, Abiodun A.
Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title_full Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title_fullStr Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title_full_unstemmed Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title_short Bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
title_sort bioaerosol sampling for airborne bacteria in a small animal veterinary teaching hospital
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737439/
https://www.ncbi.nlm.nih.gov/pubmed/23930156
http://dx.doi.org/10.3402/iee.v3i0.20376
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