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We plan four broad themes, to

  • Better understand who is affected by antimicrobial resistance and healthcare-associated infections, and why, including the impact of inequalities and aging, and how we can monitor these conditions. We will do this by combining many different types of ‘big data’ about patients and the microbes that make them ill. [‘Populations’]
  • Use this information to work out how we can reduce healthcare-associated infections and antimicrobial resistance, in ways the NHS can afford and that target those at highest risk. We will explore whether we should use drugs, tests for infections and vaccinations differently; or change the ways healthcare professionals interact with patients, empowering patients to manage their health and antibiotic use better. [‘Interventions’]
  • Understand how healthcare-associated and antimicrobial-resistant infections can be affected by what happens on farms or in both the general and hospital environment. [‘Contexts’]
  • Work out how to analyse and compare the genetic code of millions of microorganisms causing infections from across the world to find out more about they become resistant to antibiotics, cause epidemics and can be controlled [‘Sequencing’]