首页> 外文会议>Annual conference of the International Society of Exposure Science >Estimating pesticide exposures: areas of strength and weakness in epidemiologic studies
【24h】

Estimating pesticide exposures: areas of strength and weakness in epidemiologic studies

机译:估算农药暴露:流行病学研究的优缺点

获取原文

摘要

Comparing the merits of toxicology and epidemiology studies can become like parents extolling their child's prowess at a school function or sporting event. As an epidemiologist, I consider the real-life exposure experience in human populations to be highly relevant and informative for public health. However, just as I know (deep down) that my daughter will never play soccer in the Olympics, the practice of exposure assessment by epidemiologists is not at a world class level. We, epidemiologists, can learn from the robust nature of toxicology studies. The US EPA Office of Pesticide Programs (OPP) released its Framework for Incorporating Human Epidemiologic & Incident Data in Risk Assessments of Pesticides in 2016. Therein, the OPP presented quality considerations (low, medium and high) for exposure assessment using questionnaires and for biomonitoring data. These score sheets are a starting point for discussion. Knowing that we must rely upon observational methods and that the human dose levels are much lower than for laboratory animals, the demand for excellence is high. Epidemiologists need to ensure that biologically relevant exposure data are collected, that the data are sufficiently transparent, that measurement error has been quantified and that multiple exposures have been assessed.
机译:比较毒理学和流行病学研究的优点,就可以像父母在学校活动或体育比赛中赞扬孩子的才能一样。作为流行病学家,我认为人类的现实生活中的接触经验与公共卫生高度相关且具有丰富的信息。但是,正如我所知(深入了解)我的女儿永远不会在奥运会中踢足球一样,流行​​病学家进行接触评估的实践还不是世界一流的水平。流行病学家,我们可以从毒理学研究的稳健性中学习。美国EPA农药计划办公室(OPP)于2016年发布了将人类流行病学和突发事件数据纳入农药风险评估的框架。其中,OPP提出了使用问卷调查和生物监测进行暴露评估的质量考虑(低,中和高)。数据。这些分数表是讨论的起点。知道我们必须依靠观察方法,并且人类的剂量水平远低于实验动物的水平,因此对卓越的需求很高。流行病学家需要确保收集生物学相关的暴露数据,数据足够透明,已量化测量误差并已评估了多次暴露。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号