Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F21%3A43902859" target="_blank" >RIV/60076658:12520/21:43902859 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ecoenv.2021.112973" target="_blank" >https://doi.org/10.1016/j.ecoenv.2021.112973</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecoenv.2021.112973" target="_blank" >10.1016/j.ecoenv.2021.112973</a>
Alternative languages
Result language
angličtina
Original language name
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters
Original language description
Wastewater contains a wealth of information about the inhabitants of cities. Wastewater-based epidemiology (WBE) has become an effective tool for monitoring public health by analyzing various biomarkers (e.g., chemicals and microorganisms) in wastewater. This way, the estimation of pharmaceuticals' consumption behavior and/or illicit drugs can be calculated. However, monitoring consumption alone is not the only option. If we consider wastewater as a statistical representation of the population's health, medical information can be derived. In this work, we used data from 15 different wastewater treatment plants in Slovak Republic to explore correlations between the use of typical pharmaceuticals and illicit drugs. The analysis was based on the wastewater monitoring data from four years (2016–2019), and 68 different compounds were taken into account. One of the strongest correlations found was between Antihyperlipidemics and Antihypertensives, with Pearson's correlation coefficient of 0.82. This type of analysis within the WBE represents a new potential as an additional source of information for the pharmaceutical, medical and government sectors in assessing health risk factors in the population. Such an evaluation method has even a great potential for artificial intelligence and machine learning for calculating health risk factors together with other sources of data. © 2021 The Authors
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/LM2018099" target="_blank" >LM2018099: South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecotoxicology and Environmental Safety
ISSN
0147-6513
e-ISSN
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Volume of the periodical
228
Issue of the periodical within the volume
neuveden
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
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UT code for WoS article
000754466400004
EID of the result in the Scopus database
2-s2.0-85119058292