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掀起波澜:基于人群健康管理的 SARS-CoV-2 污水监测。

Making waves: Wastewater surveillance of SARS-CoV-2 for population-based health management.

机构信息

Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University (NTU), Singapore; Asian School of the Environment, NTU, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore.

Biofouling and Biofilm Processes, Water and Steam Chemistry Division, Chemistry Group, Bhabha Atomic Research Centre, Kalpakkam 603102, India; Homi Bhabha National Institute, BARC Training School Complex, Anushakti Nagar, Trombay, Mumbai 400 094, India.

出版信息

Water Res. 2020 Oct 1;184:116181. doi: 10.1016/j.watres.2020.116181. Epub 2020 Jul 13.

Abstract

Worldwide, clinical data remain the gold standard for disease surveillance and tracking. However, such data are limited due to factors such as reporting bias and inability to track asymptomatic disease carriers. Disease agents are excreted in the urine and feces of infected individuals regardless of disease symptom severity. Wastewater surveillance - that is, monitoring disease via human effluent - represents a valuable complement to clinical approaches. Because wastewater is relatively inexpensive and easy to collect and can be monitored at different levels of population aggregation as needed, wastewater surveillance can offer a real-time, cost-effective view of a community's health that is independent of biases associated with case-reporting. For SARS-CoV-2 and other disease-causing agents we envision an aggregate wastewater-monitoring system at the level of a wastewater treatment plant and exploratory or confirmatory monitoring of the sewerage system at the neighborhood scale to identify or confirm clusters of infection or assess impact of control measures where transmission has been established. Implementation will require constructing a framework with collaborating government agencies, public or private utilities, and civil society organizations for appropriate use of data collected from wastewater, identification of an appropriate scale of sample collection and aggregation to balance privacy concerns and risk of stigmatization with public health preservation, and consideration of the social implications of wastewater surveillance.

摘要

全球范围内,临床数据仍然是疾病监测和追踪的金标准。然而,由于报告偏差和无法追踪无症状疾病携带者等因素,此类数据有限。感染个体的尿液和粪便中会排出病原体,无论疾病症状严重程度如何。污水监测——即通过人类排泄物监测疾病——是临床方法的有力补充。由于污水相对便宜且易于收集,并且可以根据需要在不同的人群聚集水平上进行监测,因此污水监测可以提供实时、具有成本效益的社区健康视图,独立于与病例报告相关的偏差。对于 SARS-CoV-2 和其他病原体,我们设想在污水处理厂一级建立一个综合污水监测系统,并在邻里尺度上对下水道系统进行探索性或确认性监测,以识别或确认感染群集,或评估已建立传播的控制措施的影响。实施将需要与政府机构、公共或私营公用事业以及民间社会组织合作,构建一个框架,以适当利用从污水中收集的数据,确定适当的样本收集和汇总规模,以平衡隐私问题和污名化风险与公共卫生保护,并考虑污水监测的社会影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c988/7357518/53e33775f51a/gr1_lrg.jpg

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