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QAAPT:一个可互操作的基于Web的开源工具,用于分析和可视化抗微生物耐药性数据.

Mohammad Julhas Sujan1, Sanjay Gautam1, Ahmed Taha Aboushady2

  • 1Department of Antimocrobial Resistance, International Vaccine Institute, Seoul, Republic of Korea.

Frontiers in microbiology
|February 24, 2025
PubMed
概括
此摘要是机器生成的。

一个新的开源工具,抗微生物模式和趋势的快速分析 (QAAPT),简化了抗微生物耐药性 (AMR) 数据的分析和可视化. 这个用户友好的应用程序有助于低资源设置有效跟踪AMR趋势.

关键词:
抗微生物耐药性 抗微生物耐药性数据分析数据分析数据分析数据可视化数据可视化低中等收入国家.监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督

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科学领域:

  • 公共卫生 公共卫生
  • 传染病流行病学 传染病流行病学
  • 生物信息学是一种生物信息学.

背景情况:

  • 对抗生素耐药性 (AMR) 的监测至关重要,特别是在面临高负担的低收入和中等收入国家.
  • 有效分析和可视化AMR数据在这些地区存在重大挑战.

研究的目的:

  • 描述抗微生物模式和趋势快速分析 (QAAPT) 工具的设计,开发,整合和实施.
  • 为AMR数据分析和可视化提供开源,用户友好的解决方案.

主要方法:

  • 开发了一个开源的,基于Web的应用程序 (QAAPT) 用于AMR数据分析和可视化.
  • 综合数据策划选项和与实验室信息管理系统的兼容性.
  • 与具有有限编程专业知识的个人测试了该工具的可用性.

主要成果:

  • 在亚洲7个国家的72个实验室成功实施了QAAPT工具.
  • 分析了超过237万个异构的抗微生物敏感性测试数据点.
  • 生成统计和视觉输出,证明该工具在处理大型,复杂的AMR数据集的能力.

结论:

  • QAAPT工具为AMR监测数据的分析和可视化提供了一个实用且易于使用的解决方案.
  • 促进对抗微生物药物耐药性的更好理解和管理,特别是在资源有限的环境中.
  • 该工具的开源性质和易用性促进了在全球AMR努力中更广泛的采用和协作.