科学证据是足够的吗? 使用专家意见来填补抗菌素耐药性研究数据的空白
Melanie Cousins1, E Jane Parmley2, Amy L Greer2
1School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada.
PloS one
|August 24, 2023
概括
专家的见解收集,以解决了解抗菌素耐药性 (AMR) 驱动因素的数据差距. 这些半定量数据,来自欧洲"一健康"的背景下,有助于模拟AMR的出现和传播.
科学领域:
- 一个健康,一个健康.
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 抗微生物药物耐药性 (AMR) 给全球健康和经济带来了重大挑战.
- 定量数据缺口阻碍了有效的抗药性反应建模和模拟.
- 专家知识可以弥合这些数据缺口,以便更好地了解AMR驱动因素.
研究的目的:
- 确定有关驱动AMR的因素的可量化的数据.
- 确定AMR驱动因素之间的关系的优势和方向.
- 利用欧洲一个健康系统的专家意见.
主要方法:
- 在瑞典举办的专家研讨会的成绩单的二次分析.
- 专注于欧洲食品系统背景中的专家.
- 识别半定量数据以参数化AMR模型.
主要成果:
- 专家陈述提供了关于AMR驱动因素的半定量数据.
- 获得了对影响AMR的因素当前状况的见解.
- 这项研究探讨了各种AMR驱动因素之间的关系.
结论:
- 专家的见解提供了有价值的数据,而定量信息很少.
- 这些发现为未来的AMR出现和传播模型提供了信息.
- 这项研究有助于理解瑞典一个健康系统中的AMR.
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