Literature DB >> 25443427

Systematic and day-to-day effects of chemical-derived population estimates on wastewater-based drug epidemiology.

Foon Yin Lai, Shalona Anuj, Raimondo Bruno, Steve Carter, Coral Gartner, Wayne Hall, K Paul Kirkbride, Jochen F Mueller, Jake W O'Brien, Jeremy Prichard, Phong K Thai, Christoph Ort.   

Abstract

Population size is crucial when estimating population-normalized drug consumption (PNDC) from wastewater-based drug epidemiology (WBDE). Three conceptually different population estimates can be used: de jure (common census, residence), de facto (all persons within a sewer catchment), and chemical loads (contributors to the sampled wastewater). De facto and chemical loads will be the same where all households contribute to a central sewer system without wastewater loss. This study explored the feasibility of determining a de facto population and its effect on estimating PNDC in an urban community over an extended period. Drugs and other chemicals were analyzed in 311 daily composite wastewater samples. The daily estimated de facto population (using chemical loads) was on average 32% higher than the de jure population. Consequently, using the latter would systemically overestimate PNDC by 22%. However, the relative day-to-day pattern of drug consumption was similar regardless of the type of normalization as daily illicit drug loads appeared to vary substantially more than the population. Using chemical loads population, we objectively quantified the total methodological uncertainty of PNDC and reduced it by a factor of 2. Our study illustrated the potential benefits of using chemical loads population for obtaining more robust PNDC data in WBDE.

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Year:  2015        PMID: 25443427     DOI: 10.1021/es503474d

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  7 in total

1.  Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).

Authors:  Christian G Daughton
Journal:  Sci Total Environ       Date:  2017-11-29       Impact factor: 7.963

2.  Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites.

Authors:  Ethan D Evans; Chengzhen Dai; Siavash Isazadeh; Shinkyu Park; Carlo Ratti; Eric J Alm
Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

3.  Monitoring drug consumption in Innsbruck during coronavirus disease 2019 (COVID-19) lockdown by wastewater analysis.

Authors:  Vera Reinstadler; Verena Ausweger; Anna-Lena Grabher; Marco Kreidl; Susanne Huber; Julia Grander; Sandra Haslacher; Klaus Singer; Michael Schlapp-Hackl; Manuel Sorg; Harald Erber; Herbert Oberacher
Journal:  Sci Total Environ       Date:  2020-11-23       Impact factor: 7.963

4.  Temporal monitoring of stimulants during the COVID-19 pandemic in Belgium through the analysis of influent wastewater.

Authors:  Tim Boogaerts; Maarten Quireyns; Maarten De Prins; Bram Pussig; Hans De Loof; Catharina Matheï; Bert Aertgeerts; Virginie Van Coppenolle; Erik Fransen; Adrian Covaci; Alexander L N van Nuijs
Journal:  Int J Drug Policy       Date:  2022-04-04

5.  Mining chemical information in Swedish wastewaters for simultaneous assessment of population consumption, treatment efficiency and environmental discharge of illicit drugs.

Authors:  Inga Haalck; Paul Löffler; Christine Baduel; Karin Wiberg; Lutz Ahrens; Foon Yin Lai
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

6.  Using Monte Carlo simulation to assess variability and uncertainty of tobacco consumption in a city by sewage epidemiology.

Authors:  De-Gao Wang; Qian-Qian Dong; Juan Du; Shuo Yang; Yun-Jie Zhang; Guang-Shui Na; Stuart G Ferguson; Zhuang Wang; Tong Zheng
Journal:  BMJ Open       Date:  2016-02-17       Impact factor: 2.692

7.  Levels of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) in raw wastewater as an innovative perspective for investigating population-wide exposure to third-hand smoke.

Authors:  Foon Yin Lai; Katerina Lympousi; Frederic Been; Lisa Benaglia; Robin Udrisard; Olivier Delémont; Pierre Esseiva; Nikolaos S Thomaidis; Adrian Covaci; Alexander L N van Nuijs
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

  7 in total

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