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pubmed-article:16948699pubmed:dateCreated2006-9-4lld:pubmed
pubmed-article:16948699pubmed:abstractTextCertain respiratory tract infections can be transmitted by hand-to-mucous-membrane contact, inhalation, and/or direct respiratory droplet spray. In a room occupied by a patient with such a transmissible infection, pathogens present on textile and nontextile surfaces, and pathogens present in the air, provide sources of exposure for an attending health-care worker (HCW); in addition, close contact with the patient when the latter coughs allows for droplet spray exposure. We present an integrated model of pertinent source-environment-receptor pathways, and represent physical elements in these pathways as "states" in a discrete-time Markov chain model. We estimate the rates of transfer at various steps in the pathways, and their relationship to the probability that a pathogen in one state has moved to another state by the end of a specified time interval. Given initial pathogen loads on textile and nontextile surfaces and in room air, we use the model to estimate the expected pathogen dose to a HCW's mucous membranes and respiratory tract. In turn, using a nonthreshold infectious dose model, we relate the expected dose to infection risk. The system is illustrated with a hypothetical but plausible scenario involving a viral pathogen emitted via coughing. We also use the model to show that a biocidal finish on textile surfaces has the potential to substantially reduce infection risk via the hand-to-mucous-membrane exposure pathway.lld:pubmed
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pubmed-article:16948699pubmed:authorpubmed-author:NicasMarkMlld:pubmed
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pubmed-article:16948699pubmed:volume26lld:pubmed
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pubmed-article:16948699pubmed:pagination1085-96lld:pubmed
pubmed-article:16948699pubmed:dateRevised2008-11-21lld:pubmed
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pubmed-article:16948699pubmed:year2006lld:pubmed
pubmed-article:16948699pubmed:articleTitleAn integrated model of infection risk in a health-care environment.lld:pubmed
pubmed-article:16948699pubmed:affiliationSchool of Public Health, University of California, Berkeley, 94720, USA. mnicas@berkeley.edulld:pubmed
pubmed-article:16948699pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:16948699pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
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