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Summarising and presenting AMR data

Summarising and presenting AMR data

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  • 6 hours study
  • Level 2: Intermediate
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    • Antimicrobial resistance (AMR) is a major global concern because drug-resistant infections can kill, spread to others, and impose huge costs on individuals and society. In order to tackle this problem we first need to understand it; we can do this by collecting and sharing high-quality data that is relevant to AMR.

      Data relating to AMR means that trends in resistance and antimicrobial use can be monitored and used to make better decisions to help tackle the AMR crisis. As an AMR surveillance professional, you have a key role to play in this surveillance process, whether it is in collecting, analysing or interpreting data, or in using the data to develop new policies and practices.

      This Fleming Fund course, Tackling antimicrobial resistance, comprises a series of online modules. The aim of this course is to help you to identify, develop and apply skills and knowledge relevant to your role in order to change and improve your working practice and the practice of people that you work with.

      This module introduces common ways of summarising data visually, reviews the strengths and limitations of each approach, and discusses how you can use visual summaries to enhance the analysis of AMR-related data. The module explores the effectiveness of visual summaries in communicating important information to a wide range of people. You will have the opportunity to reflect on the most appropriate ways to visualise AMR-related data, to look for patterns and trends, and identify errors in this data.

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    • This course is part of a collection

      This course is part of a collection

      This course is part of a collection of courses called Tackling antimicrobial resistance. There are 25 courses in this collection so you may find other courses here that maybe of interest to you.

      See this collection

    • Course learning outcomes

      By the end of this module, you should be able to:

      • describe the different ways to represent data visually
      • explain why visual summaries of data are an essential part of AMR data analysis
      • review the strengths and limitations of each visual presentation
      • make a simple graph and map using AMR data.

    • Course dates:

      First Published 26/05/2021.

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      About this course

      • 6 hours study
      • Level 2: Intermediate
      • Gain a digital badge

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