Figure 1
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Time lag between an antibiotic being introduced to clinical use and the first appearance of resistance
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Figure 2
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Relationship between total antibiotic consumption and Streptococcus pneumoniae resistance to penicillin in 20 industrialised countries
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Figure 3
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Seasonal patterns of high-use antibiotic prescriptions and Escherichia coli resistance in the United States
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Figure 4
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A poster developed to raise awareness of antimicrobial resistance
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Figure 5
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World Health Organization geographical regions
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Figure 6
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Data flow chart from the European Antimicrobial Resistance Surveillance Network (EARS-Net)
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Figure 7
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Available types of European Centre for Disease Prevention and Control (ECDC) reporting data
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Figure 8
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Total outpatient antibiotic use in 33 European countries in 2009 in defined daily doses (DDDs)
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Figure 9
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The Asian Network for Surveillance of Resistant Pathogens (ANSORP), 1996–2012
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Figure 10
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Asian Network for Surveillance of Resistant Pathogens (ANSORP) themes and numbers of papers
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Figure 11
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Cumulative annual change in Escherichia coli antimicrobial resistance in US outpatient urinary isolates from 2001 to 2010
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Figure 12
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Relative frequency of bacterial species or groups encountered in clinical specimens from inpatients
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Figure 13
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Relative frequency of bacterial species/groups encountered in clinical specimens from outpatients
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Figure 14
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Methicillin-resistant Staphylococcus aureus (MRSA) trends according to patient location, 1998–2005
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Figure 15
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Inpatient (IP) and outpatient (OP) methicillin-resistant Staphylococcus aureus prevalence, grouped by US Census Bureau Regions
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Figure 16
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Danish Integrated Antimicrobial Resistance Monitoring and Research Programme (DANMAP) organisational structure
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Figure 17
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The relationship between the use of avoparcin and the proportion of resistant isolates of Enterococcus faecium and Enterococcus faecalis in broiler chickens, 1994–2010
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Figure 18
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Increasing resistance of Escherichia coli to fluroquinolones in primary care, 2001–10
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Figure 19
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Fluoroquinolone use versus quinolone resistance in Escherichia coli, 2001–07
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Figure 20
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Proportion of Clostridium difficile isolates with resistance to moxifloxacin per county (2009–11) and sales of moxifloxacin in defined daily doses/1000 inhabitants
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Figure 21
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The incidence of extended-spectrum beta-lactamase (ESBL) in Swedish counties, 2008–11
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Figure 22
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Resistance rates for urinary tract infection antibiotics in Escherichia coli, 2002–11167
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Figure 23
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Examples of tables showing data for Klebsiella pneumoniae and Pseudomonas aeruginosa isolates
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Figure 24
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Smittskyddsinstitutet data on penicillin-resistant pneumococcus infections, by county, age and sex
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Figure 25
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Smittskyddsinstitutet data on penicillin-resistant pneumococcus infections – trends over time and summary data for 2012
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Figure 26
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Antibiotic use in number of prescriptions per 1000 inhabitants (inh) per year in Sweden, by age group, 1987–2004
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Figure 27
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Data from the Staphylococcus aureus 2011 Antimicrobial Susceptibility Report
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Figure 28
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Data from the 2011 MRSA Typing and Epidemiology Report
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Figure 29
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Data from the Gram-negative Bacteria 2011 Hospital-onset Susceptibility Report
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Figure 30
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Data from the Gram-negative Bacteria 2011 Hospital-onset Susceptibility Report
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Figure 31
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Total hospital antimicrobial use by all contributors (all classes)
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Figure 32
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Total hospital usage of 3rd/4th generation cephalosporins, glycopeptides and carbapenems
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Figure 33
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Overview of elements of the action plan proposed from the Antimicrobial Resistance Summit 2011, and interaction with a central management body
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Figure 34
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Generic schematic of an antimicrobial resistance surveillance system
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Figure 35
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Broader surveillance systems considerations
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Table 1
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Mechanism of action of different groups of antibiotics
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Table 2
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Areas of focus of a range of select programs
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Table 3
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Organisms and organism groups monitored by existing AMR surveillance systems
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Table 4
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Characteristics of antimicrobial resistance surveillance systems
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Table 5
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Case studies examined in this report
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Table 6
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Denominator data for EARS-Net
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Table 7
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Asian Network for Surveillance of Resistant Pathogens (ANSORP) research projects
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Table 8
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Distribution of resistance phenotypes among US inpatient and outpatient methicillin-resistant Staphylococcus aureus, from 2002 to March 2005
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Table 9
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Numbers and types of publications arising from Australian Group on Antimicrobial Resistance studies
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Table 10
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Formative enablers and barriers relevant to ‘enhance’ and ‘construct’ options
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Table 11
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A high-level overview of the proposed program, comprising five elements developed over three stages
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Table 12
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Element 1 – Surveillance of antimicrobial resistance
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Table 13
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Element 2 – Surveillance of antibiotic usage
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Table 14
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Element 3 – Disease burden and outcomes
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Table 15
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Element 4 – Analysis and action
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Table 16
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Element 5 – Planning
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Table 17
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Overview of the current status of key elements of the proposed program
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