Sampling (human health)
Introduction
To generate data on AMR in surveillance programmes or research studies, we first need to make decisions about how, where and from which entities (individuals or groups) to collect data. This is known as ‘sampling’.
This module will focus on sampling for AMR surveillance in human health, but will also draw comparisons to animal health, where relevant, to emphasise the importance of One Health approaches in tackling AMR.
After completing this module, you will be able to:
- describe the purpose of sampling individuals for AMR surveillance
- explain what factors need to be considered when choosing which individuals to sample for AMR surveillance
- recognise the lists of priority pathogens suggested for sampling in individuals
- list the steps involved in sampling individuals for AMR surveillance
- explain the common problems associated with identifying sampling frames and how they can be addressed.
Activity 1: Assessing your skills and knowledge
Before you begin this module, you should take a moment to think about the learning outcomes and how confident you feel about your knowledge and skills in these areas. Do not worry if you do not feel very confident in some skills – they may be areas that you are hoping to develop by studying these modules.
Now use the interactive tool to rate your confidence in these areas using the following scale:
- 5 Very confident
- 4 Confident
- 3 Neither confident nor not confident
- 2 Not very confident
- 1 Not at all confident
This is for you to reflect on your own knowledge and skills you already have.