title: Optimizing hospital infection control: the role of mathematical modeling.
abstract: Multidrug-resistant bacteria are major causes of nosocomial infections and are associated with considerable morbidity, mortality, and healthcare costs. Preventive strategies have therefore become increasingly important. Mathematical modeling has been widely used to understand the transmission dynamics of nosocomial infections and the quantitative effects of infection control measures. This review will explore the principles of mathematical modeling used in nosocomial infections and discuss the effectiveness of infection control measures investigated using mathematical modeling.
authors.affiliation: Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Victoria, Australia.
authors.forename: Tan N
authors.initials: TN
authors.lastname: Doan
authors.forename: David C M
authors.initials: DC
authors.lastname: Kong
authors.forename: Carl M J
authors.initials: CM
authors.lastname: Kirkpatrick
authors.forename: Emma S
authors.initials: ES
authors.lastname: McBryde
mesh_terms: D003428:Cross Infection / Q000517:prevention & control*; D018562:Disease Transmission, Infectious / Q000517:prevention & control / Q000706:statistics & numerical data; D006801:Humans; D017053:Infection Control / Q000379:methods / Q000458:organization & administration; D008962:Models, Theoretical; D017063:Outcome Assessment, Health Care