Optimizing Hospital Infection Control: The Role of Mathematical Modeling
Copyright policy )Optimizing Hospital Infection Control: The Role of Mathematical Modeling
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.Infect Control Hosp Epidemiol 2014;35(12):1521–1530
- James Cook University Australia
- Royal Melbourne Hospital Australia
- Melbourne Health Australia
- Monash University Australia
Colonization, Hand Hygiene Compliance, Active Surveillance, Cross Infection, Infection Control, Enterococci, Environmental Contamination, Cluster Randomized-Trial, 2725 Infectious Diseases, Care, Models, Theoretical, 2726 Microbiology (medical), Impact, Resistant Staphylococcus-Aureus, Outcome Assessment, Health Care, Transmission Dynamics, Disease Transmission, Infectious, Humans, 2713 Epidemiology
Colonization, Hand Hygiene Compliance, Active Surveillance, Cross Infection, Infection Control, Enterococci, Environmental Contamination, Cluster Randomized-Trial, 2725 Infectious Diseases, Care, Models, Theoretical, 2726 Microbiology (medical), Impact, Resistant Staphylococcus-Aureus, Outcome Assessment, Health Care, Transmission Dynamics, Disease Transmission, Infectious, Humans, 2713 Epidemiology
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