DeRosa C T
Division of Toxicology, Agency for Toxic Substances and Disease Registry, Atlanta, GA 30333, USA.
Toxicol Lett. 1995 Sep;79(1-3):283-5. doi: 10.1016/0378-4274(95)03378-x.
ATSDR's mission is to prevent or mitigate adverse human effects and diminished quality of life that result from exposure to hazardous substances from hazardous waste sites, unplanned releases, and other sources of pollution present in the environment. As part of this charge, human health assessments are performed through the use of data from animal studies environmental monitoring data and human epidemiological studies. Often sufficient data are not available to perform such assessments. Hence, modeling approaches are often used to estimate the likelihood of exposure to environmental chemicals and adverse health effects to human populations. In the last two decades, several computational techniques have been recognized as having potential to improve the accuracy of this process. As part of the assessment process, (1) chemicals of potential concern must be identified, (2) available data on their toxicity evaluated, (3) quantitative measures of their potential adverse health effects developed, and (4) exposure assessments made. The human health risk must then be characterized in a useful and understandable manner.
美国毒物与疾病登记署(ATSDR)的使命是预防或减轻因接触危险废物场地、意外泄漏及环境中其他污染来源的有害物质而对人类产生的不利影响和生活质量下降。作为这项职责的一部分,通过利用动物研究数据、环境监测数据和人类流行病学研究数据来进行人类健康评估。通常没有足够的数据来进行此类评估。因此,建模方法经常被用于估计接触环境化学物质的可能性以及对人群的不良健康影响。在过去二十年中,几种计算技术已被认为有潜力提高这一过程的准确性。作为评估过程的一部分,必须(1)识别潜在关注的化学物质,(2)评估其毒性的现有数据,(3)制定其潜在不良健康影响的定量指标,以及(4)进行暴露评估。然后必须以有用且易懂的方式描述人类健康风险。