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Key Recommendations for Antimicrobial Resistance Surveillance: Takeaways From the CAPTURA Project.

Ahmed Taha AboushadyMohammad Julhas SujanKien PhamAdam ClarkFlorian MarksMarianne HolmHea Sun JohNimesh PoudyalJohn Stelling
Published in: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America (2023)
Antimicrobial resistance (AMR) is a growing global public health challenge associated with 4.95 million deaths in 2019 and an estimated 10 million deaths per year by 2050 in the absence of coordinated action. A robust AMR surveillance system is therefore required to avert such a scenario. Based on an analysis of country-level AMR data in 8 Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA) countries, we present a list of key recommendations to strengthen AMR surveillance. We propose 10 primary considerations under 3 broad categories, including recommendations on (1) laboratory and testing practices, (2) data management and analysis, and (3) data use.
Keyphrases
  • antimicrobial resistance
  • public health
  • electronic health record
  • big data
  • healthcare
  • clinical practice
  • primary care
  • data analysis
  • machine learning