The global threat of antimicrobial resistance (AMR) has arisen through a network of complex interacting factors. Many different sources and transmission pathways contribute to the ever-growing burden of AMR in our clinical settings. The lack of data on these mechanisms and the relative importance of different factors causing the emergence and spread of AMR hampers our global efforts to effectively manage the risks. Importantly, we have little quantitative knowledge on the relative contributions of these sources and are likely to be targeting our interventions suboptimally as a result. Here we propose a systems mapping approach to address the urgent need for reliable and timely data to strengthen the response to AMR.

中文翻译：

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解决抗菌素耐药性的未知数：量化和绘制负担的驱动因素

抗菌素耐药性（AMR）的全球威胁是通过复杂的相互作用因素网络引起的。在我们的临床环境中，许多不同的来源和传播途径导致了AMR不断增加的负担。由于缺乏有关这些机制的数据以及导致AMR出现和传播的不同因素的相对重要性，阻碍了我们有效管理风险的全球努力。重要的是，我们对这些来源的相对贡献知之甚少，因此很可能无法将我们的干预措施作为最佳目标。在这里，我们提出一种系统映射方法，以解决对可靠，及时的数据的紧急需求，以增强对AMR的响应。