A data-driven mathematical model of multi-drug resistant Acinetobacter baumannii transmission in an intensive care unit.

ABSTRACT: Major challenges remain when attempting to quantify and evaluate the impacts of contaminated environments and heterogeneity in the cohorting of health care workers (HCWs) on hospital infections. Data on the detection rate of multidrug-resistant Acinetobacter baumannii (MRAB) in a Chinese intensive care unit (ICU) were obtained to accurately evaluate the level of environmental contamination and also to simplify existing models. Data-driven mathematical models, including mean-field and pair approximation models, were proposed to examine the comprehensive effect of integrated measures including cohorting, increasing nurse-patient ratios and improvement of environmental sanitation on MRAB infection. Our results indicate that for clean environments and with strict cohorting, increasing the nurs

SUBMITTER: Wang X 

PROVIDER: S-EPMC4372795 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature