Water quality � Detection and quantification of Legionella spp. and/or Legionella pneumophila by concentration and genic amplification by quantitative polymerase chain reaction (qPCR)

2019 ◽  
2014 ◽  
Vol 143 (7) ◽  
pp. 1524-1537 ◽  
Author(s):  
D. J. ROSER ◽  
B. VAN DEN AKKER ◽  
S. BOASE ◽  
C. N. HAAS ◽  
N. J. ASHBOLT ◽  
...  

SUMMARYWe developed two dose–response algorithms forP. aeruginosapool 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:Nl = Aln(1 + BC) (log-linear model);Pinf = 1−e(−rcC)(exponential model), whereAandBare 2.51644 × 107lesions/m2and 2.28011 × 10−11 c.f.u./mlP. aeruginosa, respectively;C = pathogen density (c.f.u./ml),Nl = folliculitis lesions/m2,Pinf = probability of infection, andrC = 4·3 × 10−7 c.f.u./mlP. aeruginosa. Outbreak data indicates these algorithms apply to exposure durations of 41 ± 25 min. Typical water quality benchmarks (≈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 understandP. aeruginosarisks.


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