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Journal article
Dose-response algorithms for water-borne Pseudomonas aeruginosa folliculitis
Epidemiology and infection, v 143(7), pp 1524-1537
01 May 2015
PMID: 25275553
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We developed two dose-response algorithms for P. aeruginosa pool folliculitis using bacterial and lesion density estimates, associated with undetectable, significant, and almost certain folliculitis. Literature data were fitted to Furumoto & Mickey's equations, developed for plant epidermis-invading pathogens: N-l = A ln(1 + BC) (log-linear model); P-inf = 1-e((- rcC)) (exponential model), where A and B are 2.51644 x 10(7) lesions/m(2) and 2.28011 x 10(-11) c.f.u./ml P. aeruginosa, respectively; C = pathogen density (c.f.u./ml), N-l = folliculitis lesions/m(2), P-inf = probability of infection, and r(C) = 4.3 x 10(-7) c.f.u./ml P. aeruginosa. Outbreak data indicates these algorithms apply to exposure durations of 41 +/- 25 min. Typical water quality benchmarks (approximate to 10(-2) c.f.u./ml) appear conservative but still useful as the literature indicated repeated detection likely implies unstable control barriers and bacterial bloom potential. In future, culture-based outbreak testing should be supplemented with quantitative polymerase chain reaction and organic carbon assays, and quantification of folliculitis aetiology to better understand P. aeruginosa risks.
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Details
- Title
- Dose-response algorithms for water-borne Pseudomonas aeruginosa folliculitis
- Creators
- D. J. Roser - UNSW SydneyB. Van Den Akker - UNSW SydneyS. Boase - Department of Otorhinolaryngology,Head and Neck Surgery,The Queen Elizabeth Hospital,Woodville,SA,Australia.C. N. Haas - Drexel UniversityN. J. Ashbolt - UNSW SydneyS. A. Rice - UNSW Sydney
- Publication Details
- Epidemiology and infection, v 143(7), pp 1524-1537
- Publisher
- Cambridge Univ Press
- Number of pages
- 14
- Grant note
- 201300490 / Alberta Innovates
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000352706700022
- Scopus ID
- 2-s2.0-84911373317
- Other Identifier
- 991019168279804721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Infectious Diseases
- Public, Environmental & Occupational Health