How to assess the relative importance of different colonization routes of pathogens within hospital settings.
about
Methicillin-resistant Staphylococcus aureus in hospitals and the community: stealth dynamics and control catastrophesAutomated DNA sequence-based early warning system for the detection of methicillin-resistant Staphylococcus aureus outbreaksA social network of hospital acquired infection built from electronic medical record data.Use of strain typing data to estimate bacterial transmission rates in healthcare settings.An augmented data method for the analysis of nosocomial infection dataA multiplicative hazard regression model to assess the risk of disease transmission at hospital during community epidemics.A model of antibiotic-resistant bacterial epidemics in hospitals.Transmission dynamics of methicillin-resistant Staphylococcus aureus in a medical intensive care unit in India.Modeling the spread of methicillin-resistant Staphylococcus aureus in nursing homes for elderlyIdentifying more epidemic clones during a hospital outbreak of multidrug-resistant Acinetobacter baumanniiLimits of patient isolation measures to control extended-spectrum beta-lactamase-producing Enterobacteriaceae: model-based analysis of clinical data in a pediatric ward.Modelling the transmission of healthcare associated infections: a systematic review.Characterising the Transmission Dynamics of Acinetobacter baumannii in Intensive Care Units Using Hidden Markov ModelsDeterminants of the Final Size and Case Rate of Nosocomial OutbreaksInfection control in the intensive care unit.Limiting the spread of highly resistant hospital-acquired microorganisms via critical care transfers: a simulation study.New approaches to quantifying the spread of infection.Is patient isolation the single most important measure to prevent the spread of multidrug-resistant pathogens?The rising impact of mathematical modelling in epidemiology: antibiotic resistance research as a case study.Persistent colonization and the spread of antibiotic resistance in nosocomial pathogens: resistance is a regional problemA modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.Characterizing an outbreak of vancomycin-resistant enterococci using hidden Markov modelsOptimizing hospital infection control: the role of mathematical modeling.Evaluating hospital infection control measures for antimicrobial-resistant pathogens using stochastic transmission models: Application to vancomycin-resistant enterococci in intensive care units.On methods for studying stochastic disease dynamics.Clostridium difficile in the intensive care unit: epidemiology, costs, and colonization pressure.Nosocomial transmission clusters and risk factors in Moraxella catarrhalis.Mixture model to assess the extent of cross-transmission of multidrug-resistant pathogens in hospitals.Of models and methods: our analytic armamentarium applied to methicillin-resistant Staphylococcus aureus.Use of stochastic epidemic modeling to quantify transmission rates of colonization with methicillin-resistant Staphylococcus aureus in an intensive care unit.The transmission of nosocomial pathogens in an intensive care unit: a space-time clustering and structural equation modelling approach.Multivariate Markov process models for the transmission of methicillin-resistant Staphylococcus aureus in a hospital ward.Mathematical modelling of vancomycin-resistant enterococci transmission during passive surveillance and active surveillance with contact isolation highlights the need to identify and address the source of acquisitionA unified stochastic modelling framework for the spread of nosocomial infectionsQuantifying where human acquisition of antibiotic resistance occurs: a mathematical modelling study
P2860
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P2860
How to assess the relative importance of different colonization routes of pathogens within hospital settings.
description
2002 nî lūn-bûn
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2002 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
How to assess the relative imp ...... gens within hospital settings.
@ast
How to assess the relative imp ...... gens within hospital settings.
@en
How to assess the relative imp ...... gens within hospital settings.
@nl
type
label
How to assess the relative imp ...... gens within hospital settings.
@ast
How to assess the relative imp ...... gens within hospital settings.
@en
How to assess the relative imp ...... gens within hospital settings.
@nl
prefLabel
How to assess the relative imp ...... gens within hospital settings.
@ast
How to assess the relative imp ...... gens within hospital settings.
@en
How to assess the relative imp ...... gens within hospital settings.
@nl
P2093
P2860
P356
P1476
How to assess the relative imp ...... gens within hospital settings.
@en
P2093
Inti Pelupessy
Marc J M Bonten
Odo Diekmann
P2860
P304
P356
10.1073/PNAS.082412899
P407
P577
2002-04-09T00:00:00Z