Pathway of AMR for data scientists and epidemiologists
This pathway is aimed at Data scientists and epidemiologists. In the modules of this pathway you will learn about good laboratory practice and management, the OneHealth approach to tackling AMR, surveillance in AMR including national surveillance systems, the processing, analysing, summarising, presenting of AMR data and its use for communication and policy making.
The following courses are in this pathway:
- AMR surveillance and you
- The problem of AMR
- Introducing AMR
- AMR in animals
- Isolating and identifying bacteria (Human Health)
- Isolating and identifying bacteria (Animal Health)
- Antimicrobial susceptibility testing
- Introducing a One Health approach to AMR
- An introduction to AMR surveillance
- Introducing AMR surveillance systems
- AMR surveillance in animals
- Sampling (Human Health)
- Sampling (Animal Health)
- An overview of national AMR surveillance
- Communicating AMR data to stakeholders
- Legal and ethical considerations in AMR
- Fundamentals of data for AMR
- Using AMR data for policy making
- Processing and analysing AMR data
- Summarising and presenting AMR data
You may study the courses in any order. Each course has a digital badge. If you complete all the courses and have enrolled on this pathway, you will receive a Statement of Participation, a printable statement that lists all the courses and badges in the
pathway.
This material is part of a collection
This material is part of a collection of materials called Tackling antimicrobial resistance. There are 10 materials in this collection so you may find other materials here that maybe of interest to you.
Material learning outcomes
As a result of completing all the courses in this pathway, you will know more about:
- The basics of antimicrobial resistance, its emergence and the clinical problems that it presents
- Understanding how data on antimicrobial resistance are collected, and the limitations of the methodology used
Course dates:
First Published 25/02/2021.
Updated 19/08/2021
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