Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/113530
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Type: Journal article
Title: Evaluation of monitoring schemes for wastewater-based epidemiology to identify drug use trends using cocaine, methamphetamine, MDMA and methadone
Author: Humphries, M.
Bruno, R.
Lai, F.
Thai, P.
Holland, B.
O'Brien, J.
Ort, C.
Mueller, J.
Citation: Environmental Science and Technology, 2016; 50(9):4760-4768
Publisher: American Chemical Society
Issue Date: 2016
ISSN: 0013-936X
1520-5851
Statement of
Responsibility: 
Melissa A. Humphries, Raimondo Bruno, Foon Yin Lai, Phong K. Thai, Barbara R. Holland, Jake W. O, Brien, Christoph Ort, and Jochen F. Mueller
Abstract: Wastewater-based epidemiology is increasingly being used as a tool to monitor drug use trends. To minimize costs, studies have typically monitored a small number of days. However, cycles of drug use may display weekly and seasonal trends that affect the accuracy of monthly or annual drug use estimates based on a limited number of samples. This study aimed to rationalize sampling methods for minimizing the number of samples required while maximizing information about temporal trends. A range of sampling strategies were examined: (i) targeted days (e.g., weekends), (ii) completely random or stratified random sampling, and (iii) a number of sampling strategies informed by known weekly cycles in drug use data. Using a time-series approach, analysis was performed for four drugs (MDMA, methamphetamine, cocaine, methadone) collected through a continuous sampling program over 14 months. Results showed, for drugs with weekly cycles (MDMA, methamphetamine and cocaine in this sample), sampling strategies which made use of those weekly cycles required fewer samples to obtain similar information as sampling 5 days per week and had better accuracy than stratified random sampling techniques.
Keywords: Methamphetamine; N-Methyl-3,4-methylenedioxyamphetamine; Methadone; Cocaine; Substance Abuse Detection; Waste Water
Description: Published: March 23, 2016
Rights: © 2016 American Chemical Society
RMID: 0030094948
DOI: 10.1021/acs.est.5b06126
Appears in Collections:Mathematical Sciences publications

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