Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters
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...
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2021
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oai:doaj.org-article:51bbcbabc24e4275a201dd03ff3dcb902021-11-16T04:09:06ZSearching for the correlations between the use of different groups of pharmaceuticals from wastewaters0147-651310.1016/j.ecoenv.2021.112973https://doaj.org/article/51bbcbabc24e4275a201dd03ff3dcb902021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S014765132101085Xhttps://doaj.org/toc/0147-6513Wastewater 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.Michal BodíkTomáš MackuľakMiroslav FeherAndrea Vojs StaňováKateřina GrabicováDóra VarjúováIgor BodíkElsevierarticleWastewater-based epidemiologyDrug abusePharmaceutical consumptionPearson's correlation coefficientEnvironmental pollutionTD172-193.5Environmental sciencesGE1-350ENEcotoxicology and Environmental Safety, Vol 228, Iss , Pp 112973- (2021) |
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DOAJ |
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Wastewater-based epidemiology Drug abuse Pharmaceutical consumption Pearson's correlation coefficient Environmental pollution TD172-193.5 Environmental sciences GE1-350 |
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Wastewater-based epidemiology Drug abuse Pharmaceutical consumption Pearson's correlation coefficient Environmental pollution TD172-193.5 Environmental sciences GE1-350 Michal Bodík Tomáš Mackuľak Miroslav Feher Andrea Vojs Staňová Kateřina Grabicová Dóra Varjúová Igor Bodík Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
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. |
format |
article |
author |
Michal Bodík Tomáš Mackuľak Miroslav Feher Andrea Vojs Staňová Kateřina Grabicová Dóra Varjúová Igor Bodík |
author_facet |
Michal Bodík Tomáš Mackuľak Miroslav Feher Andrea Vojs Staňová Kateřina Grabicová Dóra Varjúová Igor Bodík |
author_sort |
Michal Bodík |
title |
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
title_short |
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
title_full |
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
title_fullStr |
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
title_full_unstemmed |
Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
title_sort |
searching for the correlations between the use of different groups of pharmaceuticals from wastewaters |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/51bbcbabc24e4275a201dd03ff3dcb90 |
work_keys_str_mv |
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1718426785909047296 |