Optimizing hospital infection control: the role of mathematical modeling

Doan, Tan N., Kong, David C.M., Kirkpatrick, Carl M.J., and McBryde, Emma S. (2014) Optimizing hospital infection control: the role of mathematical modeling. Infection Control and Hospital Epidemiology, 35 (12). pp. 1521-1530.

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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.

Item ID: 39745
Item Type: Article (Research - C1)
ISSN: 1559-6834
Funders: Monash University, National Health and Medical Research Council of Australia (NHMRC)
Date Deposited: 09 Sep 2015 02:08
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 40%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 40%
16 STUDIES IN HUMAN SOCIETY > 1605 Policy and Administration > 160508 Health Policy @ 20%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 50%
92 HEALTH > 9202 Health and Support Services > 920207 Health Policy Evaluation @ 50%
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