Table of Contents
Surveillance of Antimicrobial Resistance: from Microbiology
Laboratory Data to Epidemiological Networks
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Vancomycin-Resistant Enterococci in Europe, 1995
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Surveillance Studies vs. Systems
What Is the Objective of Surveillance?
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Criteria for Evaluating Surveillance Systems
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Why Do We Need Antimicrobial Resistance Networks?
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Standardization and Quality of Susceptibility Testing
Consensus on Minimal Data Set
Standardization and Quality of Databases
Duplicate Isolates (1): Urinary Tract Isolates,
Finland, 1984
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Duplicate Isolates (3): Neonatal ICU Isolates,
Germany, 1996
Duplicate Isolates (4): All Hospital Isolates,
United States, 1995
A Solution for Duplicate Isolates: WHONET Software
Feed-Back of Results
Feed-Back of Results
Feed-Back of Results
What Is “Epidemiology” of Antimicrobial Resistance?
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Are data available? At which level?
Usefulness of Antimicrobial Resistance and Antimicrobial
Use Data Comparison
Taking Time into Account: Evaluating Interventions
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What Is Time Series Analysis?
Why Use Time Series Analysis to Model Resistance
Data?
Box-Jenkins (ARIMA) Models
Building an ARIMA Model
Change in the Subsidization of Antimicrobials,
Denmark, 1996
Transfer Function (TF) Models
Building a TF Model
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Conclusion (1)
Conclusion (2) |