Multiple time scales in modeling the incidence of infections acquired in intensive care units.
When patients are admitted to an intensive care unit (ICU) their risk of getting an infection will be highly depend on the length of stay at-risk in the ICU. In addition, risk of infection is likely to vary over calendar time as a result of fluctuations in the prevalence of the pathogen on the ward....
Main Authors: | , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2016
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