Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6312957 | Environment International | 2016 | 9 Pages |
Abstract
For indoor endotoxins, a predictive model was developed but it only explained 44% of endotoxin variability; the significant predictors were tracers of indoor PM2.5 dust (Si, Ca), number of external windows and number of hours with internal doors open. Results suggest that short-term indoor endotoxin variability may be driven by household dust/garbage production and handling. This would explain the modest predictive performance of published models that use answers to household surveys as predictors. One feasible alternative is to increase the sampling period so that household features would arise as significant predictors of long-term airborne endotoxin levels.
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Environmental Chemistry
Authors
Francisco Barraza, Héctor Jorquera, Johanna Heyer, Wilfredo Palma, Ana MarÃa Edwards, Marcelo Muñoz, Gonzalo Valdivia, Lupita D. Montoya,