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<p>Estimates of preventable antimicrobial resistance (AMR) burden are important to inform local, national, regional, and global policies, targets and research priorities. Such estimates rely heavily on model assumptions and several analytical approaches have been used. In this perspective article, we outline key conceptual and practical challenges in estimating AMR burden, and propose strategies for building on existing work to obtain more policy-relevant burden estimates. We highlight how new approaches taking an explicitly causal perspective are tackling these problems and have the potential to improve the way results are combined from individual studies to estimate national and regional AMR burden.</p>

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The burden of antimicrobial-resistant bacterial infections: a causal perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月4日

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  • Cherry Lim,
  • Koen B. Pouwels,
  • Sue J. Lee,
  • Yin Mo,
  • Rogier H. van Doorn,
  • Paul Turner,
  • Ben S. Cooper

摘要

Estimates of preventable antimicrobial resistance (AMR) burden are important to inform local, national, regional, and global policies, targets and research priorities. Such estimates rely heavily on model assumptions and several analytical approaches have been used. In this perspective article, we outline key conceptual and practical challenges in estimating AMR burden, and propose strategies for building on existing work to obtain more policy-relevant burden estimates. We highlight how new approaches taking an explicitly causal perspective are tackling these problems and have the potential to improve the way results are combined from individual studies to estimate national and regional AMR burden.