Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154389
Title: Making waves : wastewater surveillance of SARS-CoV-2 for population-based health management
Authors: Thompson, Janelle R. 
Nancharaiah, Yarlagadda V.
Gu, Xiaoqiong
Lee, Wei Lin
Rajal, Verónica Beatriz
Haines, Monamie Bhadra
Girones, Rosina
Ng, Lee Ching
Alm, Eric J.
Wuertz, Stefan
Keywords: Engineering::Environmental engineering
Issue Date: 2020
Source: Thompson, J. R., Nancharaiah, Y. V., Gu, X., Lee, W. L., Rajal, V. B., Haines, M. B., Girones, R., Ng, L. C., Alm, E. J. & Wuertz, S. (2020). Making waves : wastewater surveillance of SARS-CoV-2 for population-based health management. Water Research, 184, 116181-. https://dx.doi.org/10.1016/j.watres.2020.116181
Journal: Water Research
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.
URI: https://hdl.handle.net/10356/154389
ISSN: 0043-1354
DOI: 10.1016/j.watres.2020.116181
Rights: © 2020 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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