Optimizing hospital infection control: the role of mathematical modeling.
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Characterising the Transmission Dynamics of Acinetobacter baumannii in Intensive Care Units Using Hidden Markov ModelsExpanding the statistical toolbox: analytic approaches for cohort studies with healthcare-associated infectious outcomesGeneral Practitioner Antimicrobial Stewardship Programme Study (GAPS): protocol for a cluster randomised controlled trialModeling the impact of interventions against Acinetobacter baumannii transmission in intensive care units.Infection control implications of heterogeneous resistance mechanisms in carbapenem-resistant Enterobacteriaceae (CRE).Understanding the Impact of Interventions to Prevent Antimicrobial Resistant Infections in the Long-Term Care Facility: A Review and Practical Guide to Mathematical Modeling.A stochastic model for MRSA transmission within a hospital ward incorporating environmental contamination.An in silico evaluation of treatment regimens for recurrent Clostridium difficile infection.Research Methods in Healthcare Epidemiology and Antimicrobial Stewardship-Mathematical Modeling.Universal or targeted approach to prevent the transmission of extended-spectrum beta-lactamase-producing Enterobacteriaceae in intensive care units: a cost-effectiveness analysis.A unified stochastic modelling framework for the spread of nosocomial infections
P2860
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P2860
Optimizing hospital infection control: the role of mathematical modeling.
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name
Optimizing hospital infection control: the role of mathematical modeling.
@en
type
label
Optimizing hospital infection control: the role of mathematical modeling.
@en
prefLabel
Optimizing hospital infection control: the role of mathematical modeling.
@en
P2860
P50
P356
P1476
Optimizing hospital infection control: the role of mathematical modeling
@en
P2093
Tan N Doan
P2860
P304
P356
10.1086/678596
P577
2014-11-14T00:00:00Z