global antimicrobial resistance surveillance system (glass) · glass – data collected annually 8...
TRANSCRIPT
Global antimicrobial resistance surveillance
system (GLASS)
Workshop on Innovative Approaches to Establishing and Strengthening Regional Integrated and Laboratory Networks for Disease Control, Prevention and Clinical Care in AfricaAfrica CDC, Addis Ababa, 27th - 29th March 2017
Christoph H. Larsen ([email protected])
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GLASS – Global Report 2014: Lessons learned
GLASS – Purpose and implementation strategy
GLASS – Data collected, data flow
GLASS – Next steps
Challenges
Outline
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2014 – Global Report on AMR
2015 – Development of global standards, tools
21st March 2016 – GLASS call for enrolment (ongoing)
01st April 2017 – Data call opens
Timeline
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?
Global Report 2014: Lessons Learned
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Global Report 2014: Lessons Learned
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Regional Netw
ork
Reg
ion
al N
etw
ork
Global Report 2014: Lessons Learned
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Lack of common standards and coordination
Country data not shared with national bodies
Global Report 2014: Lessons Learned
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Lack of common standards and coordination
Country data not shared with national bodies
Isolate-based strategy
Global Report 2014: Lessons Learned
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GLASS – Purpose
Foster national AMR surveillance systems with globally agreed standards
Present quality data as actionable information for informed decision-making
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GLASS – Implementation Strategy
Initially focus on selected pathogen | antibacterial combinations in humans
Collect clinical, laboratory, epidemiological data
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GLASS – Data Collected Annually
Key performance indicators of national AMR surveillance system
Patient core epidemiological data, i.e. age, gender
Aggregated AMR data of selected pathogens
Newly suspected or detected types of AMR
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Sample-based strategy
GLASS – Data Collected Annually
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GLASS – Data Collected Annually
8 selected pathogens:Acinetobacter spp, E. coli, K. pneunomiae, S. aureaus,S. pneumoniae, Salmonella spp, Shigella spp,N. gonorrhoeae
4 sample types:blood, urine, stool, urethral / cervical swabs
Standard pathogen | antimicrobial combinations,plus: country-specific modifications
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GLASS – Data Flow
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GLASS – Data Flow
= ± +
EQA
LIMSAccredita
tion
(e.g. SLIPTA
/SLMTA)
HMIS
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GLASS – Data Flow
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Regional Network
Regio
nal N
etwo
rk
GLASS – Data Flow
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21st March 2016 – GLASS call for enrolment (ongoing)
1st April 2017 – GLASS call for data
2018/2019 – Links to: AMU, EML, HIV, TB, malaria
2019 – One Health: animal and environmental domains
Next Steps
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GLASS – Challenges
Availability and quality of laboratory results
Change of paradigm from isolates to cases
AMR data management at laboratory and national levels
Merci
GLASS SecretariatTechnical teamCHOWDHARY, TejinderEREMIN, SergeyESCHER, MartinaGRISKEVICIENE, JolantaLARSEN, Christoph H.MANGLANI, SapnaPESSOA DA SILVA, Carmem Lucia (Lead)TORNIMBENE, Barbara
Administrative supportFIAWOO-MARKHAM, Mawuto
አመሰግናለሁTh
ank
you
اوي متشكر
Obrigado