CCPortal
DOI10.1016/j.scitotenv.2017.11.102
Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM)
Daughton, Christian G.
发表日期2018-04-01
ISSN0048-9697
卷号619页码:748-764
英文摘要

Timely assessment of the aggregate health of small-area human populations is essential for guiding the optimal investment of resources needed for preventing, avoiding, controlling, or mitigating human exposure risks, as well as for maintaining or promoting health. Seeking those interventions yielding the greatest benefit with respect to the allocation of resources is critical for making progress toward community sustainability, reducing health disparities, promoting social justice, and maintaining or improving collective health and well-being. More informative, faster, and less-costly approaches are needed for guiding investigation of cause-effect linkages involving communities and stressors originating from both the built and natural environments. One such emerging approach involves the continuous monitoring of sewage for chemicals that serve as indicators of the collective status of human health (or stress/disease) or any other facet relevant to gauging time-trends in community-wide health. This nascent approach can be referred to as Sewage Chemical-Information Mining (SCIM) and involves the monitoring of sewage for the information that resides in the form of natural and anthropogenic chemicals that enter sewers as a result of the everyday actions, activities, and behaviors of humans. Of particular interest is a specific embodiment of SCIM that would entail the targeted monitoring of a broad suite of endogenous biomarkers of key physiologic processes (as opposed to xenobiotics or their metabolites). This application is termed BioSCIM-an-approach roughly analogous to a hypothetical community-wide collective clinical urinalysis, or to a hypothetical en masse human biomonitoring program. BioSCIM would be used for gauging the status or time-trends in community-wide health on a continuous basis. This paper presents an update on the progress made with the development of the BioSCIM concept in the period of time since its original publication in 2012, as well as the next steps required for its continued development. Published by Elsevier B.V.


英文关键词Epidemiology;Public health;Endogenous biomarker;Urine;Exosomes;Exposome
语种英语
WOS记录号WOS:000424144200077
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/62338
作者单位US EPA, Environm Futures Anal Branch, Syst Exposure Div, Natl Exposure Res Lab,Off Res & Dev, 944 East Harmon Ave, Las Vegas, NV 89119 USA
推荐引用方式
GB/T 7714
Daughton, Christian G.. Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM)[J]. 美国环保署,2018,619:748-764.
APA Daughton, Christian G..(2018).Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).SCIENCE OF THE TOTAL ENVIRONMENT,619,748-764.
MLA Daughton, Christian G.."Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM)".SCIENCE OF THE TOTAL ENVIRONMENT 619(2018):748-764.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Daughton, Christian G.]的文章
百度学术
百度学术中相似的文章
[Daughton, Christian G.]的文章
必应学术
必应学术中相似的文章
[Daughton, Christian G.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。