TY - JOUR
T1 - Optimizing hospital infection control: The role of mathematical modeling
AU - Doan, Tan Nhut
AU - Kong, David Chee Ming
AU - Kirkpatrick, Carl Michael James
AU - McBryde, Emma
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
UR - http://www.jstor.org/stable/info/10.1086/678596
UR - https://www.scopus.com/pages/publications/84911900661
U2 - 10.1086/678596
DO - 10.1086/678596
M3 - Article
SN - 0899-823X
VL - 35
SP - 1521
EP - 1530
JO - Infection Control & Hospital Epidemiology
JF - Infection Control & Hospital Epidemiology
IS - 12
ER -