Informed switching strongly decreases the prevalence of antibiotic resistance in hospital wards

PLoS Computational Biology

Volumn 7, Issue 3, 2011, Pages

  Kouyos, Roger D ^a   Abel zur Wiesch, Pia ^a   Bonhoeffer, Sebastian ^a  

^a ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

HOSPITALS; MIXING; POPULATION STATISTICS; SEMICONDUCTOR JUNCTIONS; STOCHASTIC SYSTEMS; SWITCHING;

ANTIBIOTICS RESISTANCE; EPIDEMIOLOGICAL MODELING; HOSPITAL WARDS; MICROBIOLOGICAL TESTS; NOSOCOMIAL INFECTION; ON-RESISTANCE; OPTIMISATIONS; PERFORMANCE; RANDOM DEPLOYMENT; SWITCHING STRATEGIES;

ANTIBIOTICS;

ANTIBIOTIC RESISTANCE; ANTIBIOTIC SENSITIVITY; ARTICLE; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; DISEASE TRANSMISSION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRACTICE GUIDELINE; PROCESS OPTIMIZATION; RELIABILITY; RISK REDUCTION; STRATEGIC PLANNING; TREATMENT PLANNING; WARD; BACTERIAL INFECTION; BACTERIUM; BIOLOGICAL MODEL; CROSS INFECTION; DRUG EFFECT; HOSPITAL; HUMAN; PREVALENCE; STATISTICS;

ANTIINFECTIVE AGENT;

ANTI-BACTERIAL AGENTS; BACTERIA; BACTERIAL INFECTIONS; CROSS INFECTION; DRUG RESISTANCE, BACTERIAL; HOSPITALS; HUMANS; MODELS, BIOLOGICAL; PREVALENCE; STOCHASTIC PROCESSES;

EID: 79953654190     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001094     Document Type: Article

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