Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5854472 | International Journal of Hygiene and Environmental Health | 2016 | 9 Pages |
Abstract
We discovered high variability (up to 4 log10 steps) in the presence of Legionella spp. (CFU/100 mL) within all buildings over a half year period as well as over the course of a day. Occurrences were significantly correlated with temperature, pipe length measures, and stagnation. Logistic regression modelling revealed three parameters (temperature after flushing until no significant changes in temperatures can be obtained, stagnation (low withdrawal, qualitatively assessed), pipe length proportion) to be the best predictors of Legionella contamination (>100 CFU/100 mL) at single outlets (precision = 66.7%; accuracy = 72.1%; F0.5 score = 0.59).
Keywords
Related Topics
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Health, Toxicology and Mutagenesis
Authors
Sebastian Völker, Christiane Schreiber, Thomas Kistemann,