Searching for the correlations between the use of different groups of pharmaceuticals from wastewaters.
Drug abuse
Pearson's correlation coefficient
Pharmaceutical consumption
Wastewater-based epidemiology
Journal
Ecotoxicology and environmental safety
ISSN: 1090-2414
Titre abrégé: Ecotoxicol Environ Saf
Pays: Netherlands
ID NLM: 7805381
Informations de publication
Date de publication:
15 Nov 2021
15 Nov 2021
Historique:
received:
09
08
2021
revised:
12
10
2021
accepted:
03
11
2021
pubmed:
19
11
2021
medline:
19
11
2021
entrez:
18
11
2021
Statut:
aheadofprint
Résumé
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.
Identifiants
pubmed: 34794023
pii: S0147-6513(21)01085-X
doi: 10.1016/j.ecoenv.2021.112973
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
112973Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.